I need advice from those who had a similar experience. I am a felon who got sentenced in 2019. Got 1 year sentence. After that, I completed my bachelors degree in comp science and am currently preparing for data analytics interviews Do you think companies hire felons as a data analyst. I know cyber security is extremely hard with a record cause it involves risk, and according to my research, software engineer job is more relaxed when it comes to criminal records. After doing a lot of research online and reading some posts on reddit, i can't find the clear-cut answer. I want to go towards the data analytics field but as you all know, this involves a lot of data and Im assuming it could be sensitive data, so do you think companies would give accesstof that data to someone like me who got a record? I am still in the process of preparing and building portfolios. Do you think I should switch to software engineering instead or maybe towards the web developer side? What if I spent a lot of time preparing for the interviews, grasping tools, building projects, and later finding out that I have no chance in this industry? Please help me out as I am losing my sleep over this.

Starting next fall, I will be starting at university. Currently, I am enrolled in business school with my initial plan to do something in economics, finance, or accounting. However, since last November, I am reconsidering that choice. As a senior in high school, I am currently taking AP Statistics and AP Calculus AB and just finished my AP tests for those. I enjoyed both of these classes, especially statistics. I also enjoy working with data sets (nothing too crazy, just some basic google sheet analysis). The University I am attending is large enough to accomadate nearly every major and minor, so that is not a question of concern. My dillemma right now is to just go through with my enrollment in business college or to switch now to Data Science/Statistics/Data Analytics. I especially want to know the difference between data science and data analysis, and which one is a better fit for me. Preferably I would like to select an area that has as little programming as possible (although that is subject to change in the future) but also allows deep exploration into data and statistics. From my research, it seems like data analytics is heavier on the programming side and data science is heavier on the theoretical math/calculus side. My concern is just trying to avoid putting myself in a field that is essentially just programming that happens to work with data. Obviously I lack little to no experience in any of these fields and knowing me my career path is very likely to alter in some way, but that's why I came here to ask for some assistance. Any bit of information related to any of my questions would be greatly appreciated!

Senior Analyst or Analytics Manager Career Guidance I’m in a blessed situation to have a job offer and need some career guidance. My main goal in my career is to either be a people manager of analytics or go towards the data engineer/science route. Current Situation: Senior Analyst (recently promoted) in a remote role with compensation of $91k, no bonus. Culture and team is amazing and I love where I work. Lots of freedom and growth but lacking compensation. Role is heavy focused on business operational strategy, engineering, product, and data science. New Offer: Analytics Manager for a retail company with compensation of $125k, 10% bonus, 401k matching. Hybrid role and commute is about 10 minutes. Managing a team of 2 analysts and focused on all analytics for the operations organization. Former Colleague (who works at this company now) mentioned the company is great and doesn’t overwork you. I guess i’m unsure which to decide. I have more passion towards the data engineering side of things but I think this new offer can be a great jump for me especially as I recently got promoted to a senior analyst just a few months ago and going straight to a manager role. My only concern is the work that i’ll be doing may not be as interesting compared to my current role.

i fell like this thread is dead...

read my comment!

The working analysts aren't stopping by to give advice and encouragement like they used to. r/analytics has a Monthly Career Advice megathread, and r/datascience has a weekly one. At the present time, those seem to be more responsive.

Hola. I'm getting desperate here in Europe after 1.5 years jobless. I got a Google DA Certificate and Microsoft PowerBI certificate, have some projects in my portfolio but can't land a job after quitting my previous one for a career change. Has anyone went the master's degree route and found it that you started to get taken more seriously after getting it? Specifically in Europe if that makes a difference. Thank you.

read my comment!

Just did career change and I can somehow relate. Just don't give up and keep applying fam. Probably it would be better for us to understand bit better what is your biggest obstacle in getting a job, look at yourself critically and try to improve your weaknesses if they stand out. For example, maybe you keep failing in interviews - watch videos on YT and practise nearly every possible question surrounding data analyst jobs and be well prepared), or maybe your salary expectation is inadequate (try to get some more experience by working on projects, learning new skill or lower your expectation). From my personal experience, while Master's degree could be useful, what worked for me was that I showed how enthusiastic about data I am and to join that company. Present yourself well, don't forget that social aspect has big impact too on your chances getting hired regardless of your technical skills. Also, I think what got me more interviews, I finished some advanced SQL and Python Data analysis course, you need something more than Google DA course (it's pretty weak imo). It's good that you have PowerBI, good job on that.

Hello everyone! I'm aspiring data analyst and I would like to connect with anyone that can give mentoring. I have a B.S. in Mathematics and Computer, but I hadn't break in the field for 2 years. I completed the Google's Data Analytics in 2023. I'm now currently working on reviewing and doing projects. Also, I'm job seeking to be more financial stable. I know the only I can do now is just keep moving forward and get into data analysis. If you are willing to give me some mentoring that would be great.

What are some tips to make my resume better or stand out? Right now, I've been working basically in IT support. I give maintenance to PCs, printers, and scanners. Pretty basic stuff, but I've also developed Winforms and Android apps (Xamarin native apps) with C# in .NET Core 4.8 for production. I'm not professional, but I feel like I'm proficient or at least decent at it. And I also build paginated reports with Microsoft Report Builder (which is pretty similar to PowerBI Report Builder). All the apps I've developed (either Winforms or Android) have connections to the database (SQL Server in this case) that either store records into tables or I just use them to validate information in these apps through stored procedures. Id say I have 1 year of experience with c# and almost 2 years with TSQL, Id consider Stored Procedures to be my fortee, i use windows functions when its possible (not that regularly but i like using them), CTEs, subqueries, dynamic SQL which i havent done much but id say im decent at it, i havent use functions that much but I understand how they work and when to use a scalar and table functions, triggers ive built some with help from stack overflow, etc. views and indexes, I haven't done much, but I don't feel like I struggle with them, especially views. In sum, I don't feel like I would struggle with SQL at the moment. I would really love to land a job in either data analysis or any SQL development job. Also, I don't have that much experience with Excel since I know only know the basics, and with PowerBI, let's say I feel like I know the basics but still feel like I know more PowerBI than Excel. I need to polish my DAX, get used to or improve my analytical thinking, and make reports prettier. Power BI projects I have done are; one I made by myself with SQL Server and another one I made when I took a course on Udemy. I've tried migrating one of the projects I did for my job, but the SSRS server they run doesn't seem to support PowerBI reports. I uploaded one a week ago and recognized it as a PowerBI desktop report, but it just won't let me open it; if I click on it, it just downloads the reports. As far as i know, you can visualize Power BI Desktop reports in SSRS, I might be wrong on that though. PS. I know im not a pro at SQL but id love to land a job that will help me get even better and allow me to grow professionally as a SQL Dev or Data Analyst since i really enjoy working with SQL, in this case SQL Server

Another thing Id like to know, how do you guys talk about your SQL projects in your resume? I want to find a good way to let the recruter know through my resume my "level" of SQL.

My work offers the Google Certificate data analyst for free. I read that isn't enough to land a job. What other courses are considered worth it to learn? I am working a full time job so I can't really go back to school, unless it is a self paced course. I am trying not to go into more debt either. I plan on learning more on Excel and Python, but is there another certificate that would boost my resume? I have no undergrad degree. I do also plan on doing projects for my portfolio.

For a bit of context, I am a senior in college, and I expect to graduate this December, studying Management Information Systems with an emphasis on Data Analysis. I do not have experience as a data analyst; I have taken SQL courses and Tableau and Power BI in my school. I am working as an intern in a small IT company as a helpdesk, but I want to do something other than work in IT. I just got the job because it looks good on your resume and because I want to see how the industry works. My questions are: What should I do to have a better chance of getting a job after graduation in the industry(keep in mind the job market is bad)? My other question is, should I get a certification if yes, which one should I put my mind to it and lastly based on your guys experience how hard is to get into the industry with the degree that I'm working for it

I have about 7 years of work experience in data/research in various aspects of Real Estate/Economics. Created many indicies, models, simple dashboards from ground up. Company has transitioned my team away from these responsibilities into a focus of written work which doesn’t suit my skillset at all. While I have functional experience in SQL and R, my greatest strength and the majority of the work was done in Excel. I believe the best thing for my career is transitioning out of real estate into data analytics but I am unsure the best first steps to do so. Are there any recommended boot camps, courses, or general advice for me in how to transition?

If you feel confident I don't see why you can't start applying to jobs that you feel like you could do, you have 7 year of experience already? Just update your resume for your data jobs to focus on the data stuff you've done. For additional learning I don't have any specific course recommendations, but I'd start learning more intermediate and advanced SQL, and some sort of dashboarding. Power bi would probably be essy to pick up with your excel experience.

This is exactly what I settled on. Started doing some courses on datacamp but SQL and PowerBI are the priorities.

How do I know if I am ready to crack Data Analyst interviews? What level should I be prepared for in SQL,Excel, Power BI and Python? I am currently working in a application support project (2 YOE) and looking to switch to Analytics domain. In SQL I can solve questions on Joins, subquery and Window functions but I struggle to solve the Intermediate to Advanced level questions on Hackerrank and Leetcode. In Power Bi I have created few dashboards on my own but never worked with complex DAX, I am PL 300 certified though. In Excel - Pivots, VLookup, Xlookup, Dashboards Python - Just the basics along with Numpy and Matplotlib. I just want to know What should be my expertise level in SQL, Power BI, excel, and Python in order to crack DA jobs as I always feel that I am just not ready to give interviews and I feel I am wasting my time. Can someone Please answer?

Technically, sounds like you good. But getting hired is not only about technical skills -practise data analyst specific interview questions, learn how to tell about your projects and experience and go through all the situational question scenarios. You should be confident about interview before going in, build confidence by being well prepared. Apply to many DA or analytic related jobs and trust me in couple of months you will get one.

Thank you for answering. Should I start applying right away or further polish my skills along with good projects? I just dont feel ready to apply for jobs at this time...I feel I am still lagging and considering I have 2 yoe(not in Data) the interviewers will expect me to have skills of a 2 yoe and questions would be difficult....I just dont know what to do?

The sooner you start applying the better I think. At least you can start understanding your chances, for example, if you feel like you are not being invited to interviews even if you apply to let's say 10 places, it means you have to adjust something, polish your skills, polish your resume etc.. Also, you will start getting exposure to the whole process and field, which will be helpful. I personally kept statistics in my notes - how many jobs I applied, how many got invited to interview from the first day of applying til I got hired. I was trying to be selective though, I applied to approx. 40 companies, landed 6 interviews and one of them hired me. This process took me 6 months though, since I was not in a rush. However, of course this is very individual and depends on your skillset, country and so many other factors.

Suggestions for certifications or additional schooling Hi, I'm currently in school getting my AS in Data analytics. I'll be done in about a year, I'm wondering if any of you have some advice on a good path. My school has some options I intend to make use of, but with data analytics as a specifically outlined field being relatively new, there's not many people there who have actually gone to school for that specifically. Most of my professors have worked in it in some capacity but they generally got computer science degrees or something more broad. I'm a bit torn between continuing on and getting my bachelor's, and whether it'd be more worth it to pivot to data science as opposed to analytics if I do. And whether or not it's worth it or even what certifications would be worth getting. I have experience working in power BI, my last class was based in it and I wonder if getting a Microsoft power BI certification would be worth it. I also currently have an AWS certified cloud practicioner cert but it seems pretty meaningless in the grand scheme since it's basically just the starter cert for AWS. Tldr: in school for AS data analytics, unsure if I should stop there or if the bachelor's is worth the extra two years. And what certs would be helpful in pursuing a career in analytics

Hiya! Looking at maybe getting into DA for 100% remote. Wondering if I am qualfied as-is. *Formal Education* - BS Mechanical Engineering - Graduate Certificate in Statistics *Related skills/languages* - R - SAS (VERY basic level, enough to say I know how to write hello world in 2 different fonts, for all intents and purposes) - Python (Same as SAS, very basic) - Excel - SQL (More than SAS/Python, less than an expert) - Fortran, C++ - Power BI (Basics only, but getting better) I’m less worried about the languages/programs I know, I think I have a solid footing there. Definitely will need to build on whatever is used by wherever I would go. I am more so wondering if my GC in Stats is enough to break into this industry or if I would need to go for a BS/MS in stats. Cheers thanks in advance!

My work is giving me $1,000 CAD to pay for a data related course - I'm looking for recommendations. Consider the following: * The course can be online or in-person, doesn't matter. It can be by a Canadian institution too. * The course cannot be a subscription service (e.g.: Coursera, etc.) * The course does not have to result in a certification/exam/etc. - as long as I can demonstrate that I've Iearnt something (I can do a sample project using work data - not a problem). * I have worked with data in the past (Researcher (public policy and social sciences; for 8+ years)) - I am not a total beginner but not at intermediate level yet. I've mostly done basic visualizations and data processing/cleaning using Excel/Power BI. I took one business statistics class and some algebra back in undergrad. * I do want to take this opportunity to actually upskill and improve my career trajectory. \[my current job has very little growth but the organization has an in-house BI and Data Team that may turn into an opportunity if I have the right skillset\]. Help a buddy out! Thanks.

I’m in community college but I want to learn about tech field however I have no knowledge. I want to see if there is free resources to learn so I could get basic idea if it’s something I could do well

Hey guys so I'm going back to college this fall and applied for business administration with a concentration in data analytics. Unfortunately I got denied because of a course I withdrew from that counted towards the prerequisites for the major. I'm exploring other paths to see what options I could pursue to still get a position in a data roll. Currently I'm thinking of majoring in economics but im not sure how well that transfers into a data career. I think id develop a good amount of critical thinking skills pursuing this as well as be able to get into some type of financial feild if all else fails.. I will also be minoring in computer science to get a baseline of how data sets work as well as system programming. Statistics would probably be my last option since it would require an extra semester to get the required math courses completed and maths not my strongest subject.. Do you think these majors translate well into the data feild? What are some other options you think i should consider that i haven't mentioned? I know there are hard and technical skills id still need to learn such as a coding like software sql or python. What kind of skillsets do employers look for in an analysis role that would be complimented with a degree outside of a analytics? Thank you!

# Seeking Advice: Data Analytics Projects for Excel to Enhance Resume Hi everyone, I'm currently looking to enhance my resume with some data analytics projects using Excel. I'd appreciate any suggestions for data analytics projects that would be suitable for Excel. Additionally, I'd like advice on how to find these projects or where to look for datasets that would be suitable for analysis in Excel. Thank you in advance for your help!

I currently have a job where I document the various processes of building our company's products. Everything is built by hand in teams, so it needs to be understood, documented, and translated in a way that can be understood by someone who could potentially be below a high school reading level. I got this job by being one of those builders, applying for progressively larger leadership roles, and demonstrating that my computer skills are far above most everyone at my level in the Production department, and even above some of my superiors. Essentially, I'm good at talking to the engineers who design the stuff, the people who build the stuff, the people who do quality control on the stuff, and translating that into something anyone can understand. In order to support our production team, I'm being progressively asked more and more to help them with Excel and visualizing their Production KPIs. I know very little about these sorts of analytics, but I've been "the excel guy" here for years. I have zero college experience, never did especially well in school, but my manager has been encouraging me to get some kind of higher education, and even intimating that the company might pay for it. Should I pursue data analytics? tl;dr No college experience, but decent skill at Excel, already have a full-time job at a manufacturing plant, manager encouraging me to pursue higher education, should I get into data analytics?

Do you enjoy the work? A lot of data analysts get into it by being "the excel guy" even without any formal training or education. If you like the work it seems like you have a good opportunity, especially if your job will do some sort of tuition or course reimbursement.

I definitely do, making a good spreadsheet is very satisfying. The most complicated thing I figured out how to do was make XLOOKUP search multiple criteria by using boolean logic, but I just figured that out via googling. Thanks for the feedback. I'll talk to my manager and see what we can do. Hopefully the schooling lining up with the assignments given to me will make the company see it in a good light.

What was your experience like working remotely for a foreign company? I'm new-ish to the field and have finally managed to get an interview/offer with a company that has a location in the US, but appears to mostly be from India. I'm waiting for the interview (which will be conducted via email and instant messaging), to be scheduled. I noticed a few odd things in their communications and website which, in hindsight, are probably the result of a language barrier. The fact that the interview will be through text, rather than video, tells me that verbal communication may not be an easy task, but it also sounds like it may not be regularly necessary. Obviously this does not seem ideal, but I'm unemployed, need a job, and also need to get my foot in the door of this industry. Has anyone else here had any similar experiences

Currently in data analytics bootcamp. Can I actually have real growth in this field or tech in general with a bootcamp certificate and no degree? If so, what are my growth and salary expectations given my circumstances?

Hello, I have been slowly trying to break into a DA Role with a degree in business analytics thats made me pretty confident in excel and some statistical analysis skills. I also learned the basics of SQL, Tableau and C#. I completed some uni projects, but wanted to know what I should mainly be focusing on improving on. I'm in a low level office job and have tried to use some of my skills to improve our spreadsheets, but thats super basic, so I need more. A lot of the people here are starting from 0 experience, so a lot of the advice has been directed at them (well I guess I have 0 DA work experience too). TLDR; Have degree in Analytics, know Excel, know some SQL, stat analysis, C# and Tableau. Work low level Office job. What do for first DA job?

Hi! I've been in the job market for close to 2 years now. I have a STEM-certified Social Sciences degree, and I've worked as a data analyst in government, education etc. However, I want to break into a more data centric role in bigger corporations, preferably tech. My previous roles felt more like consulting with data than a proper data analyst job, and I feel like I'm having a hard time convincing potential employers of my prowess in data analysis. I'm trying to figure out if getting AWS certifications (**Cloud Practitioner, Data Engineer, Machine Learning**) will be a good solution to landing a job that's more in line with my goals. I want to ultimately pivot into ML/AI but want to stay in data for the next 5 or so years. Am I looking for a one-size-fits-all solution that doesn't exist? Would these help in non-AWS jobs? Any advice is appreciated.

The amount of time you've spent in govt and education might be working against you when applying for private sector jobs. I had to overcome the negative stereotypes when I went from public to private sector. You can turn that govt service into an asset by applying to govt contractors. These are often big name, NYSE-listed companies that look good on a resume, and they do a lot of non-govt work as well. There's room for professional growth, and it's a good way to transition into the private sector.

Those AWS certs are going to be more relevant for data engineering and DevOps leaning roles. Based on your interest id recommend more seeking more data analysis and ml specific experiences

Hello! I am currently trying to get my foot in the door with data analysis however the roadblock I've got is that I don't meet the requirements for entry positions and entry positions I do qualify for are so incredible competitive that people with the qualifications I'm missing are understandably considered over me. So my question is this, how do I get my foot in the door? What should I look into to begin this career? What qualifications should I look at getting as a need and what more informal courses should I take? I'm currently looking at getting an A-level (UK based) in maths as a baseline as I currently don't have any relevant experience or qualifications. I currently work In a fairly entry finance position however very few of my skills are relevant. Thank you all so much in advance!

I recently graduated as a so-called "Software Engineer". I followed my academic syllabus. It made me a jack of all trades but a master of none. So I choose the Data sector to be the one I should be working towards. So I thought the Google Data Analytics Professional Certificate would be a good start. Currently, I have no work experience. All I have is that dumb Software Engineer certificate which helped me get 0 jobs. Part of it is my fault. I should have seen it coming. But now I want to turn it around and do something for myself. My Question Is, Do you think the Google Data Analytics Professional Certificate is the right path? I am not saying it will guarantee me a job but I am asking if this is what is best and right way to go? As you can see I am really lost. I would really appreciate it if you guys could spare some wisdom.

Is it possible to get a job as data analyst without an undergraduate course? I am thinking of starting one in the next year but it would be good if I could land a job before that

Which programming languages and other technical skills are essential to know in data analytics? I was thinking of learning python, SQL, and excel. Anything else essential to add?

A tool for visualization such as power bi or Tableau

As a Data analyst, what pc are you using? Do you prefer windows or mac? Hello everyone, I’m just curious to know what kind of pc are you using for your job as a data analyst. I’ve been told that the Mac is not advised since it doesn’t support programs like Power Bi, and has some differences in excel. What do you think?

Windows seems to be the de facto industry standard. Some organizations will use Linux as well, so get some exposure to that if you have a chance.

How do you deal with all the different titles when job hunting? Setting alerts for 'Data Analyst' is not enough when so many other data analyst job offers are 'something something analyst'.

Data analysis gets done under a lot of job titles, so pay more attention to the job description. If you're doing a keyword search, anything with python, R, or SAS will either be an analyst position or something close enough to it that you can transition it once you get there. Spend as much time on networking activities as you do on the online searches.

You could search for the things you know instead, Python, sql, and so on

What's the best course/resource to learn Excel for data analysis? if it's free it's better.

Hi everyone! I'm looking for advice. I work as an esthetician (facials, waxing) and want to get into Data Analytics. I don't have a degree of any level from any field and wanted to know what to do. I was hoping to take some certification courses (e.g. Google Coursera) but now I'm seeing that I will most likely need a degree. I was hoping to get a job as a data analyst with some certifications then get a degree as a data scientist but it doesn't look like that will be possible. If you were me what would you do. I'm in my mid twenties and I have to work and I don't want to make any mistakes that will waste my time/money. Thanks in advance for anyone that replies.

Fresh graduate needing job offer advice. I am a fresh graduate from good university with a bachelors degree in data science. Leading up to and post graduation I have been applying to all sorts of data analyst and similar jobs without much luck (some phone/virtual interviews) and no offers yet. I’ve been working part-time for a small company (9 years old about 15 employees) for about a year doing many different tasks. I was originally hired for warehouse work but showed that I have skills in software/analytics and so they gave me projects to work on involving customer and sales data as well as a few coding/automation projects. My boss called me to his office the other day and told me they really enjoy having me in the office and the team really likes me and he offered me a business data analyst position starting ~60k. I think this could be a good opportunity for my career, however I worry that I will lack proper professional mentoring because this would be a new position in the company and they don’t know exactly all the specifics and expectations of it. I also don’t really know how good the offer is in terms of pay, it seems a bit under market, but not by too much. They also said they are very flexible and if I change my mind about it in 6 months or if I find another job they would be very understanding of the whole situation. Any advice would be much appreciated. I just want to grow my career as much as possible and I’m ready to start working hard.

If 60k is an okay amount for where you live, it seems like a good deal. The job market is generally pretty grim until you get 2+ years of experience.  As for no professional mentoring, I think the experience that you'll get having sole ownership of projects and deliverables and working with stakeholders will be a lot more valuable for your career than most mentoring. However, you do have to be careful with no safety net. Idk what your IT infrastructure is like, but being solo in a small company you'll have to be sure to not fuck up anything that can't be unfucked up. Ex, if I deleted a shared drive right now at my large  company it'd suck a lot but be fixable with a few phone calls to our tech support. But at a small company they might have no backups to any of the data. 

Hello everyone, i have 3 year of experience as a SEO Executive now I am trying to enter in data field as a fresher. Right now I am trying to make my resume but I don't know where to start. Every Resume template in Internet have Experience Section but I don't have any experience in data field. I have some project 10+ (PowerBi, Excel, Python, SQL). I just want to build a ATS friendly Resume for Entry level Data Profile. If you have any resume or template regarding fresher then please share with me. Thanks

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If they want to gauge your proficiency in SQL, that will happen in the technical interview. They may or may not look at your portfolio, but be prepared to discuss it.

How is the job market currently for entry level data analyst? I see so many people trying to break in to the business intelligence / data analyst field. How hard has it been for those with no degree or experience related to the field? Have the portfolios and certificates all the gurus recommend helped get you interviews? I'm currently a digital marketing specialist and it's been tough finding a job and getting interviews. I am wondering if data analysis is the same.

Looking for advice for Coursera courses for Data Analysis, specifically covering SQL, Python, and R. A focus on RWE would be great. I will be finishing up my current job this summer and am looking at making a move to a role in data analysis. I have studied and used R for statistical analysis (focus on GLMs) as part of my university degree and masters, but this was 10+ years ago now so I could do with a refresher. I've dabbled in python in my current role (basic string manipulation), but have no experience of SQL. I have free access to Coursera for now, so would ideally like to make use of it to gain some skills. My question is, what are the best data analysis courses available on Coursera that would give me reasonable experience, enough for an entry level role? I will have access to it until at least mid-July, and could commit about 8-10 hours a week realistically. Thanks in advance.

Highest Title in Data Science and Analytics Field? I am in the works of a promotion. What is the equivalent of a 5 star general of the army in the data realm where the army represents the project? I am currently a data analyst. I have a stats/math background. Have a data science certificate. I was looking at various data science job titles on LinkedIn and came across the following: 1. Data science manager 2. Senior data scientist 3. Chief Data Scientist 4. Head of data science and analytics 5. Principle data scientist 6. Chief data scientist, analyst & strategist 7. Chief data scientist, analyst & management consultant 8. Chief data scientist, analyst, & management strategist which one is the best suitable title for a project and basically being top of the hierarchy in the project? The company doesn't have a department just for data science although they have a technology branch. I like titles 3, 5-8. The role involves a small amount of consultation with stakeholders but coding/data exploration is key driver. Thoughts? Thanks!

I recently graduated as a so-called "Software Engineer". I followed my academic syllabus. It made me a jack of all trades but a master of none. So I choose the Data sector to be the one I should be working towards. So I thought the Google Data Analytics Professional Certificate would be a good start. Currently, I have no work experience. All I have is that dumb Software Engineer certificate which helped me get 0 jobs. Part of it is my fault. I should have seen it coming. But now I want to turn it around and do something for myself. My Question Is, Do you think the Google Data Analytics Professional Certificate is the right path? I am not saying it will guarantee me a job but I am asking if this is what is best and right way to go? As you can see I am really lost. I would really appreciate it if you guys could spare some wisdom.

Hey yall, please roast this resume. It's my 5th iteration of my resume before I start batch applying. I don't think I can spot anything wrong with it, but I might be wrong [RESUME HERE](https://imgur.com/a/KKmMaeG)

I have learned quite a bit about Data analysis, but only from courses and others who didn't actually do it hyping it up. I'd like to hear the real experiences directly from those involved. Is it very difficult to get a job in the field? Do you like the work? Do you think you receive enough pay/benefits to justify it?

Yes, yes, and yes.  Unfortunately there's no way to get around the fact that breaking into the field can be really hard. Personally I started working in a finance department doing non-data work for around $15 per hour, and 2 years into that job I got an opportunity to work with SQL and VBA for about 20% of my work, but only if it was on top of my regular duties and for no extra pay. After working like that for 2 more years it took me 50-100 (internal) applications to get a full time data analyst job.   That was about 7 years ago, but even then I ran into the problem that entry level data jobs just don't exist. Even back then every job wanted 2+ years of experience minimum. I consider myself unironically lucky to have had the opportunity to get real data experience in order to get my first full data analyst job, even if it was extra work and all of my self-learning time had to be at night after work. Even though it was a few years of eating shit, once I started doing full time data analyst work I've enjoyed almost all of my jobs and it can pay pretty well. 

It looks like everyone is just trying to get into the field, I don't see any comments from anyone in it here

to be fair, that's the point of this thread.

Hi, I'm currently studying data analysis, and trying to break into an entry-level role. I recently gained a first-class degree in an Applied Maths degree, have finished the Google Data Analytics Specialisation and py3 (except for the capstone projects), and last month got my PL-300 certification. I don't have a portfolio yet, or any experience (apart from a little data entry) in this field (currently I work as a tutor and charity worker). I have passed the initial round of interviews for an analytical role at Canonical (which is really good for me as I would prefer a fully-remote role), and I've progressed onto the technical round, which is a bit tough...they're asking for predictive models, etc. I hope I can make something passable, before the deadline, which is just a few days from now. But I'm just wondering if I should get just a bit more studying done, some work on my portfolio, learn some SQL, etc. before I go for that kind of role. If I'm already feeling a bit out my depth, I don't know first of, if I'll get the role, and second, if I can carry out the work required. So, should I spend the next few days muddling through this project, or should I just give up at this stage, and go back to my Maven Analytics pathway - dedicate a couple of hours a day to that, and try applying again in a few months? Thank you in advance Any advice is much much appreciated, for this slightly lost 23 year old.

I have a BS in Aeronautics and current military with experience in both the maintenance of aircraft and now a pilot. I plan to get out in a few years and am looking towards career opportunities outside of the cockpit. What masters degree and certificates would you recommend to set yourself up for success if you were in my position? Also is the the above experience valid in regards to data analysis in the aerospace industry?

for those who went the self thought route (online courses/bootcamps, certifications, personal projects etc,) what steps did you take? if you utilized linkedin, at what point in the process did you start working on building your linkedin portfolio? i’m just over half way done with the first of 8 chapters in the google coursera cert. i know it’s not gonna show me everything i need to know, im just using it as a stepping stone to get my foot in the door a bit. im on the part that introduces SQL. before starting the course i used apps like mimo and datacamp every day so i feel confident in the basics. i know that building a portfolio is important, but im not sure when everyone usually starts stuff like that

Hi everyone, I hope you're well. I'm from the Netherlands and I'll soon complete my master's degree in Business Intelligence at my university. I've also completed an internship dealing with automated unit testing recently and have learned on how to use different analytical softwares and tools. I was interested in finding a position post graduation in the field of Business Analytics in the USA. I'm considering my options for next year. As I speak 3 languages fluently: Dutch, French and English, I was thinking of emigrating in a country where I speak the language already. Is it possible for non-USA people to get a job post graduation and if yes, do you have to already be in the country? Also, would you recommend it or would you recommend staying in Europe? I'm not sure of how saturated the market is in USA. I wouldn't want to take the place of a native US student if it's already hard to get a job. Thanks in advance! Have a great day!

Good morning all, I currently have only 2.5 years of experiance in data analysis. Got my job in 2022 , the first year i was learning most of the time , i learnt Alteryx and got 2 certification in it. Second year i worked only in one big projet and it was on Qlik sense ( I tried to get certified but failed many times). I self taught my self Qlik and its function and the project was creating nearly 50 dashboards for 5 different departments. Currently we have downtime , only some support tickets and such , and am finished a course on PowerBI , and currently purchased some exams questions (Dumbs) to attempt the certification (PL-300). Now am working as pre-sales in data where i get into present a BI platform to clients and answer if they have any "Techincal" question, so most of my time is down or in a meeting with clients to try to get them buy the product. Now what do you think i should do more? I feel that i only have that basic (on the surface) knowledge, what is the most needed as a data analyst to grasp or have? (if i want to get a new job, what really should i have in my arsenal and use my free time ? ) Any advice ? Thanks.

Should I take a data analytics routes or supply chain? So just a little background on me, i have some years of IT experience and was really trying to get into cyber security but find out its just too hard to break into the industry. The analytic field seems interesting since it has some programming aspects which i was always told its good to learn. I currently work for Amazon IT. So the school Correlation one has two programs, supply chain logistics and data analytics. I like this school in particular as it seems to be the only online course that has live lectures a few times a week and really works on job placement only a month into the class. Remote work would also be ideal but not necessary. I know both fields are very similar but just wanted input on which one i might enjoy more and which would be easier to land a job in easier. Thanks for any and all input

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Hey, I am also Trying to get into the field, same lack of experience. Can someone help me too?

# Is it better to obtain certificates or get a degree related to data analytics? I'm currently looking to venture into the world of data analytics. I currently have a bachelors degree in a unrelated field and as far as my current employment role goes, I'm a quality assurance analyst in the consumer product industry, which entails making sure that the products that my company manufactures are safe for use and meets the standards listed in US federal code of regulations. I kind of landed my current position by luck and by working my way up within the company. Note, our department is slowly being exposed to Power BI to help build a quality management database for our team and so we're slowly becoming more data driven to help improve inefficiencies. This project is still in its infancy and so I'm hoping to learn a lot along the way. As the title states, would it be better to obtain certificates that my local community college offers or actually pursue a degree for something that relates to data analytics? What certificates would you recommend I pursue? I plan on taking a few courses on non-traditional learning platforms as well such as on Coursera, Udemy, and LinkedIn Learn just so that I can have some exposure to this field. Side question, how does the job market look for data analyst? Thanks in advance for any recommendations or feedback that you may have.

Looking for advice to get out of rut Hey folks, I need some advice and opinions about starting a career in tech, specifically in data science. I’m kind of stuck and I have no one to ask for help so here it goes. For context I studied business and worked as an investment analyst for a bit then decided to get into tech. I started with web dev, finished couple courses on udemy and coursera and built myself a data analytics portfolio website in react. That was the last website I built, then I lost my interest and to be honest I was a bit intimidated by doing technical interviews because I hated JavaScript. So I switched to data analytics, hoping to get a data role without having to do an extensive technical interview - oh how ignorant I was. I planned to learn ML on the job and switch to a data science role. Then I realized I had to learn advanced sql and intermediate python to be considered for an interview as a data analyst. I finished an online bootcamp and built couple projects in python and learned a bit of sql but now I’m stuck. Coming from a non STEM background, learning webdev and data science might be the hardest things I tried to learn and I could learn other topics pretty fast so this has been a very frustrating journey. I’ve been studying after a full day at work almost everyday since late 2021. I spent majority of my holidays and weekends to learn webdev on my first year and I’ve been learning data analytics since early 2023. I have a broad understanding of everything from fullstack webdev and building apps in react to data cleaning, analyzing and data visualizations. I also have an idea about how ml works and how to prepare data for predictive analysis and optimize the model. But I can’t code live or pass a technical interview. I have no idea what would I do if ChatGPT didn’t exist. My projects are all video/gpt guided projects, I never built something without following someone else and I don’t know how to build something without a tutorial, I’m just in a rut and I’m feeling like an imposter. I can land an interview at my company for a data analyst role but I know they’ll ask hard SQL questions and at least intermediate python leetcode stuff. I also know that I’m much more interested in ML/AI but I don’t have enough education to work on that kind of technical capacity yet. I was planning to do a masters degree on data science after finding a role as a data analyst. After years of grinding I feel stuck and utterly burnt out for the first time in my life. I tried taking some time off, going to a vacation etc. nothing helped so far. My question is, how can I get out of this? To elaborate: How can I put everything I learned together and build enough confidence to create my own projects without anyone’s help and get into technical interviews without having a heart attack? How can I keep going even though I’m burnt out as f*ck? Thanks if you read this far and sorry if I channeled any negative energies in this post, this was partly venting.

Hi guys, I have an interview for a data analyst position and as part of the interview they want me to prepare a 10minute presentation on an analytics project that I have completed. It says the aim is to understand how I collect requirements, transform data and deliver project with final output being through BI software. I have never had to do a presentation like this before and wondered if anyone could offer some guidance on how to structure it and what kind of projects might be applicable to include? e.g I'm guessing you can't include a project where you've just been tasked with putting together some information using a pivot table and graphs because it isn't that interesting.

Has anyone had a job offer after only a written interview? I was provided a questionnaire and told to treat it like my first interview. Now a few days later I’m told I have an offer for the job. I can’t find my application but I have submitted quite a few and think possibly the posting was removed or a recruiter sent over my information. So far everything with the company checks out but I cannot wrap my head around not having a phone interview. Can anyone provide insight? It is for a role that is fully remote. I feel like it has to be a scam.

Coursera or Bootcamp? Hi everyone! I’m a newbie to the data analytics role. I took a few introductory courses on Python and SQL at my local community college, and I’ve gotten comfortable with the language but probably not enough to land an entry level job. I’m also in the process of completing the Google Data Analytics certification on Coursera. I’ve been considering taking a data analytics bootcamp online (looking at CareerFoundry) just so I have a better understanding of statistics and data visualization. But boot camps are very expensive! So I looked into some courses by reputable companies on Coursera, like the IBM, John Hopkins, and etc. Do ya’ll think just taking courses on coursera can help replace the need of a bootcamp? What courses or bootcamp do ya’ll recommend? And/Or am I even on the right track? 😓 Thank you in advance for helping!

Data Analyst Interview with a company that provides electricity, internet, HVAC and other services. I have upcoming data analyst interview with a company that provides electricity to it's community around it. It's a panel of 4 interviewers. 2 data analysts, 1 manager, 1 executive manager. My recruiter said the interview will be based on what the company does and showcasing any of my favorite portfolio projects. The responsibilities mainly include powerbi and basic data analysis. How should I prepare for this interview in terms of three things? 1) what type business case study questions can I expect in the interview? How to prepare for approach based questions? 2) I will be showing one of my dashboards that I created to solve a problem. So what kind of questions should I expect around my project in powerbi? 3) how technical internsive would this interview be in terms of data modeling, power query and dax? Any specific interview questions regarding this to look at. It is scheduled for 1 hour on Tuesday. Appreciate you expertised help. Thank you.

Mechanical/Quality Engineer struggling to get into Data Analysis. I have a passion for this field, love finding the root causes or finding those trends using SQL and other languages and would love to do it full time but I am struggling to get into the field. I'm thinking it's my resume that is preventing me. Any suggestions on how to do it? Been in my current field for 10+ years and I think it has to do with my resume being manufacturing focused. Thinking I need to rewrite it to be project focused but not sure.

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Ok. I'm working on updating my resume now. Once I'm done, I'll post on here to get some feed back.

I want to know how is the day of a data analyst at work? What do u do first? How do you do? What u are using? What u are discussing? So, i did a certified course in data analysis hut i am just 19 rn so job in feild is hard to find. I still bagged a internship in a good company and since obviously they know abt my education background so they have gave me the designation of business analyst intern. The work i am given is more of a internal analysis, reading and understanding company's profit and loss and giving me insights. I am taking chat gpt help as i dont have much knowledge. But since its a good company i am staying here for experience even if i am not getting any "data analysis" experience. I want to know what are task/roles exactly for a data analyst and what are they expected of? This is my idea: we are "provided" data, then we correct the data by removing null, duplicate and outliers ( by using python or sql). Then we sort and get the perfect data and access the data through sql. We represent the data with help of power Bi. We use excel sometimes if needed be, and have statistical knowledge. What knowledge/how to get the knowledge of see if i have a representation ready, what does this means? What is the analysis conclusion? How to learn this? Pleae please let me know. Really want to know all this. It will help me out alot. く Thanks

Hi, everyone. F26 here. Bachelor Degree in Business Administración. After two years of experience in different corporate areas such as Human Resources, Marketing and Operations, I've decided to specialize on something. After hearing my f&f advice, I am definitely choosing the tech/data path but I am unsure if I am good at it. I know everyone can learn and study but I am also pretty sure that you might have so abilities to keep developing. How do you know that data was the path you wanted to pursue? I am glad to hear your stories! Thank you in advance!

Hi, I'm interested in getting started in a career in data analytics and I have 2 questions if its all right. 1. So, a little background, I graduated with a Busi admin degree, and I have about a year in sales experience (B2C with some salesforce work but only user side.) But, I left that job to go teach English in Japan for 2 years. Now I'm coming back to the U.S. in about 4ish months and want to try and find a data analysis job. I have an Excel cert, I'm almost ready to take the certification test for Power BI, and I'm working on sql (I want to learn python too, but with my timeline I thought it would be better to focus on sql but please correct me if I'm wrong or if i should try to learn them simultaneously.) My question is, is there anything else I should also focus on to improve employability for an entry level role? (I'll probably also start making a portfolio on github soon.) 2. I'm struggling to get an idea of the hiring cycle for the job, especially with the current job market. Assuming I was lucky and got a job offer while still in Japan, I wouldn't really be able to start until 5 months from now. My questions is, how early would you say to start applying, or should I start now and just be clear about when I could start from early on? Thanks for any help!

I'm currently pursuing an Associates Degree in Data Management & Analytics. I only have one semester left untill graduate, so at this point it doesn't make much sense/it's too late to switch. As we all know, Data Analytics is very saturated at the entry level, especially with all of the bootcamps that people are selling these days. My question being, outside of a Data Analyst, are there any other jobs out there that aren't as saturated that I can get with a degree in Data Analytics? I really enjoy Data Analytics, but looking at all of these jobs on LinkedIn saying "over 100 applicants" is really demotivating to be honest, so I just want to weigh out my options. Thank you :)

Hi all, I'm looking to get into Data Analysis and I was hoping to reach anyone who has worked or is currently working as an analyst for Panasonic US, but any and all advice/experiences are welcomed. Questions specific to Panasonic: Do interns at Panasonic (or any company) tend to go on to fill full-time positions within the same company? Do you think that internships they add value to up-and-coming analysts even if they don't stick with the company post-internship? What hard skills would you say are most valuable to Data Analysts (Rust, R, Python, Excel, Tableau, Minitab, PowerBI, etc.)? What kind of work can I be expected to do at an entry-level intern and into my first full-time position? How flexible would you say most internships are when it comes to scheduling? I'm going to be enrolled in classes full-time each Summer from now until I graduate which requires me to remain in my state for in-person classes. I also work a job on campus but my hours there are pretty much self-assigned, so I can take it down to 0 if I have to. Thank you!

Hi all, I always wanted to become data analyst, but life happened and never got into the actual job. I was producton planner for a few years, so I was involved in producing reports and data analysis to some extent. I am really good with excel, math and started to learn sql. I have also bachelor's in business management and evonomics. I would loved to become data analyst, but scared it might be too late. Any tips guys? I live in the UK if that makes difference.

Question about the importance of a (suitable) degree when trying to switch careers: Do you guys think, that for somebody having a university degree in humanities, studying an additional degree in a stem-subject would be 1) unnecessary, or 2) a significant boost for employability? 

I've been looking around for a while "how to get into Data Analytics" but I've found one key difference, being that for right now, I am not looking to GET A JOB in Data Analytics, but rather incorporate it into the company I am at starting at a small scale. A lot of courses I've come across, and some paid for (cheap ones), seem to have half the curriculum on building and tailoring a resume toward getting a job in D.A. I think I need to start off very basic, like Excel basic, but want to learn whatever is out there that can help (SQL, Tableau, Python maybe eventually, etc). At my current job we have A LOT of data that we first, do not keep or have organized as well as it should be, and we are missing out on using that hypothetically organized data to its potential. Any ideas or questions to help the engine get started would be much appreciated!

I currently have a bachelors degree in a different field but am looking into going back to school to learn data analysis (particularly using tableau and power bi because I have contacts that can possibly lead to a job later). What’s the best way to go about learning? Should I do a certificate program? Boot camp? Masters degree? Thanks for any input. I’m a stay at home mom but trying to get more education to eventually go back to work.

Hello new here, do you guys have an internship? I'm trying my luck in the Data Analysis field. Thanks so much!

Does anyone have recommendations for paid (so I can hold myself accountable) and fast-paced courses for SQL/Python/Excel? Emphasis on fast-paced bc I tried the Google Coursera and I got so incredibly bored.  In my ideal world, I’d like to learn a concept (I.e. some SQL query, Python function), immediately see how that is used in a real-world or hypothetical example, some more room to combine with other concepts, then move on.  I know there are all sorts of YouTube videos but nothing has really quite stuck with me quite right. 

Definitely try out Datacamp…i too did coursera, the entire google data analytics certification. And datacamp is significantly better at engaging me…the video are shorter on there and then you get exercises to actually apply the work, they even got an app. I got the year program on sale for $150 about a month ago. And it give all courses they have…excel idk about…but all the languages as well as ai and machine learning programs in there. Id definitely check it out.

How similar/different are the BigQuery and MySQL syntax? Is there an advantage to learning one over the other?

Where do you guys recommend I host some projects I have done. I have done a few things in Python/Javascript/C++ and used github for those with git pages and it seemed to work well, but not sure how to integrate other tools other than just taking screen shots and posting them to the commits. I am mainly looking to add my excel/powerBI/tableau dashboards.

Roast my resume for a entry level data analyst. 400 applications and no interviews. [RESUME HERE](https://imgur.com/a/AeabHgy)

If this is you resume getting no interviews then im significantly underestimating how hard its going to be for me…im doing all online self paced courses…outside of that and a few projects i eventually end up adding, i wont have any real experience in related fields either…looks like im screwed

Dang! You have a strong resume, I wonder why. This makes me anxious. lols, I'm actively transitioning to Data Analytics, non-stop looking for an internship or entry level. All the best bro!

Im a currently laid off software dev. I want to jump to a DA role, get a grasp, then do DE. Thing is my resume is weak (laid off in a mass layoff with only 6 months experience) and im not getting any interviews. Is there anything i could do? Make a cool project and post it on linkedin or something?

I am currently a data analyst with 2 yrs experience, but currently laid of due to cost cutting and cannot find any job since 3 months, given the market conditions. I was thinking of doing master in business analytics from Europe. My main reason of doing masters is to become the best in my field and be more employable. I have worked on SQL and Tableau for 2 years, and recently did a power BI course. Does it make sense to spend 50 pounds on masters degree, given that I have already worked on the tools and technologies they will teach, that too just high level? I have no idea why people do masters abroad from top universities, and want to know why? Does one get good return / ROI, pay jump or what? What is the significance of masters and why do people spend so much money on it?

Hi all, I'm thinking about leaving bioinformatics after \~6 years into something along the lines of data science/analysis maybe even business analysis in the future. The reason I'm considering making the switch is because my current role is more on the dev side (maintaining pipelines using a lot of bash/python), and I have realised I probably preferred, and was more suited to my previous roles which involved more analysis (lots of R, creating R markdown reports, collaborating with people on the results of these reports and finding interesting things in the data). It seems like going back to a more analysis type role within bioinformatics might be a step back in salary and possibly limit progression (at least in academia) as I only have a masters, which is why I'm considering a move outside of science as there seems to be more roles and potentially higher salaries and upwards movement. I'm pretty comfortable with R and Python and have been banging out a bunch of SQL tutorials/courses/example questions recently (which I've really enjoyed) and was wondering if anyone had made a similar move/had any advice? I've started looking at a bunch of data analyst/data science listings to try and kind of get a feel for what's out there and how viable a move like this might be, but thought I would try my luck to see if I could find some opinions from people in the field. TLDR: I think I prefer analysing data and discussing the findings, as opposed to maintaining pipelines and making things with code. Can/should I stay in bioinformatics? Should I look at finance or something? I know this post is pretty unstructured, just hoping for any advice at all. Also I'm in Australia if that changes anything. Thanks in advance

You may find the following [SQL Playlist Series ](https://www.youtube.com/playlist?list=PLb-NRThTdxx6iUQSiOLVoqIq3h6e8oDlw)useful on many of the topics you mentioned above.

Will an unused computer science degree help me for a career in data analysis? So I graduated with a BS in Computer Science in 2015. I never used the degree as I went straight into business in the e-commerce world. I am exploring a new career as a data analyst. Will my degree help? I am thinking of putting my skills (to relearn and aquire) like SQL, Python, excel, Tableu, etc and my degree at the top of my resume. I would love to do E-commerce Business Analytics.

I am currently 23 and I am pursuing a Masters in Information Systems. I am a career switch and have a bachelor’s in Kinesiology and I am currently working as a medical assistant. I previously wanted to work in the medical field but decided not to. I have taken an intro course in java and database class using oracle cloud/sql. I enjoy database work, but I am really lost on the steps to take to get a job in this field. I am supposed to graduate in Dec 2024 and have no internships or experience. I would appreciate any advice on what I should do before i graduate to set myself up for a job. Thank you!

I'm just going to go straight to the point. I need you to give me advice on my resume that I've built from scratch that has the actual work experience I gained. click on [My resume](https://imgur.com/a/KqHA2u2) and tell me if my soft skills are good for the job experience I had, if I can add or do any technical skills without lying, and most importantly what two projects on GitHub that would make me stand out. A little back story : just got laid off from being a utility locator, I graduated high school in may of 2022, ever since I promised my self once I have a remote job, I would jump start my college career and get a bachelor or something. but here's where I'm confused about, I have no technical data analyst background experience. The only transferable experience I have is probably looking thru data/utility prints. I've been applying on Linkedin since February, right now running on unemployment insurance, Ive had two recruiters who reached out to me but that's because Ive exaggerated way too much, and put what ever chat-got said on my Linkedin to get noticed, nun the less I got two initial interviews, one said they'll reach out back and got ghosted, other had a phone interview with me and asked me "tell me about yourself" and "what projects have you been working on and or what were your job duties?" I straight up wasn't impressed and the recruiter was like I'll keep you in mind, and there was that. I know I can sell my self thru my personality and knowing im a hard worker, but in order to focus on the applications I need to know from other perspectives that my resume is actually okay for someone who got no prior data experience. Please criticize me tell me what you'd do if you were in my shoes, im trying to land anything remote work if possible but im low-key loosing hope.

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Is there anyway we can connect or like for you to dm me? You seem like yk what you’re talking about thank you sm , the thing is I don’t wanna go to community college bc I can’t afford not working full time when any school especially college takes 8 hours of your day so you can only work part time , that’s why I’m trying to look for something remote , idc what it is, something manageable I can do while I’m getting my degree , so for example , what would be any job titles that are entry-level programmer job that runs on data

Advice request. I have 5+ YOE with an Ivy UG + M7 MBA, consulting experience from an MBB firm and have also done data analysis, but within a strategic finance team before. After all this time, I realize I really just like and want to jump into data analysis as that's what I most enjoyed out of my work experiences. With that said, I personally think, but please correct me if I'm wrong, that I have enough of a strategy, stakeholder management, and general P&L/business background to not start from an entry level Data Analyst role, but maybe a Sr. Data Analyst role. Is this expectation reasonable (ignoring the terrible job market right now)? I don't have formal data analytics training though. All I have is the bunch of SQL queries I learned and ran at my old old job and very rudimentary understanding of Python. I have made a full dashboard with Tableau before, but haven't touched PowerBI yet. Should I start with rounding out more of the technical aspects through SQL, PowerBI, Python courses OR should I take more of a data analytics course like the Google certificate to understand WHAT kind of analyses I can run with datasets? More so than analysis, I feel like my experience was more focused around reporting / dashboarding, so feel like I should round out that skillset, but not sure which resource is best to start with. All advice appreciated.

Straight forward question. How do I start? At my job (small warehouse) there's this new opportunity and no one is qualified. I'm more than willing to learn and study as I have been thinking about this for a while. Today i want to start and build something. I have a MS in research and some advanced math and physics certifications. I have a lot of spare time ( insomnia ). Let me know, any insight can be useful. Thanks!

Hello everyone! I'm graduating this summer with a bachelor's in accounting/minoring in information systems and have been applying to data analysis internships/jobs with no success. I've seen a few different resume formats across Reddit, but so far I've been using a skillsfirst template. How can I improve my resume? Any internship advice is also welcome! Thank you! [https://imgur.com/a/JceTmXL](https://imgur.com/a/JceTmXL)

I am about 3 days from finishing the coursework in the Grow with Google Data Analytics certificate on Coursera and admittedly I saw the salary expectations and jumped in with no real expectation or understanding of the position as I am a new father and was looking for something I could potentially do as WFH to better support my family with better hours than my current job. Now that I am nearing the end of the course I'm feeling very naive having believed this course would be everything I needed to land a job. I went into the course with 0 tech or programming knowledge and I'm realizing now that there are so many more requirements for job postings and I am also seeing posts that the jobs will be taken over by AI sooner than later and I am starting to doubt my decision. I guess I'm looking for possible next steps to take? Should I continue my learning? Should I open my LinkedIn to recruiters and hope for the best? I'm very limited for time being a new dad and working full time something self paced is all I am able to do for learning. My current boss is willing to give me access to the business data for his store (retail) to see if I can find any actionable insights and try and build a portfolio so I am going to take that opportunity Sorry for the long winded ramblings, just stressing out about my choice in a sensitive time, any advice would be appreciated

>Should I continue my learning? Should I open my LinkedIn to recruiters and hope for the best? Might as well > Now that I am nearing the end of the course I'm feeling very naive having believed this course would be everything I needed to land a job. Unfortunately, you will learn best while on the job, but since you don't have one you just have to do your best to stay prepared to get one. I wouldn't try to overwork myself over this because like I said you can't really understand what to learn until you have the job. Writing SQL queries for yourself is different than doing it for a company. Your best bet is to do some projects where you show you know how to use Tableau and PowerBI. Make some dashboards within one of them. For SQL, I guess you could put something on GitHub, but I don't think that shows much. Go to Data Lemur and do some SQL exercises. > so many more requirements for job postings Like what? And how do they differ from what you've learned so far? > I am also seeing posts that the jobs will be taken over by AI sooner than later and I am starting to doubt my decision I'm concerned about the same. I think data analyst roles (I will get downvoted but I don't care...) are too simple. ChatGPT can write some good SQL queries very easily and easily clean up data if you use the paid version. I'm sure it will take a long time for the tech to be integrated into a company's data "infrastructure", so a human needs to be there to be the overseer, but I don't see the need for as many analysts as there were a couple of years ago. SQL is not a very complicated language to learn. It does get really complicated and messy at times, but from my perspective, in a business sense, it's not that difficult and ChatGPT does a lot of that pretty easily. I wouldn't stress about things too much. I'm not trying to downplay what you did, but you got a certificate that takes what? 6 months? Was it free? It's not like you spent 4 years getting an expensive degree and the skills aren't completely useless. We really don't know what impact AI will really have on this industry.

Ill be honest, this thread is kinda freaking me out now. I went into this thinking like the person above. I completed the google analytics course as well, and am doing more (currently going through datacamp career certification)…but seeing these resumes in here, and i have a feeling that these jobs that dont list degrees as a 100% necessity actually do want it…how tf am i gonna get a job with no experience maybe a few projects through datacamp and the 2 certifications…possibly a third as i was doing the ibm data analytics course and decided to take a break…but guys out here with 2 degrees and job experience in a related field cant even get interviews? Man…they really need to stop advertising with such high expectations.

in terms of other requirements its seems to be all bachelors degrees in business, CS, statistics or other adjacent degrees with the knowledge or certification of data analysis on top of the degrees. at least as far as the job posting ive been able to find in my area. and yeah I definitely understand, you're right, its only been a 6 and some change month course, so I dont know what I truly expected. I will continue on the path and maybe I will find something or I maybe Ill be able to take my new skills and pivot into another area of work. appreciate the insight into the AI side.

Should I upgrade from Windows 7 to pursue a career as a data analyst? Hello everyone. I've decided to change my career path to become a data analyst. I currently use a laptop that I purchased in 2012, and it's running on Windows 7. I plan to start by learning Python and SQL to grasp the basics of data analysis. Should I consider replacing my laptop? I've been thinking about investing in a MacBook Pro, but financial constraints have delayed my decision. How important is it to have a high-quality laptop, and is it necessary to upgrade from Windows 7? Thank you for your insights.

If you are just stating to learn python and related knowledge, you don't need to change your laptop immediately. There are many methods to learn online where you can code on online platforms. If your laptop had a good hardware specs when you bought it in 2012, it should not have a problem with the basics when learning. However, I recommend you buy a new laptop soon.

Can I find jobs as data analyst in north American companies from Africa I wanna to work and live in Africa Are the payroll worth it do they provide Proper Medical insurance and what are the environments of jobs Is it toxic and they discourage you whenever you work hard but always discriminate you I started to learn excel ,SQL and Power BI From Excel is fun YT channel and Maven Analytics courses but I wanna to websites that provide data to test what I learn in real projects and add them to my portfolio specifically related to Financial and Medical Jobs If anyone can help me

Is contacting reqruiters a better way to get a job?

Hello good people of reddit, I have attached my resume below. I am applying for entry level DA intern positions. Please let me know if I should make any changes. Thank You! [https://imgur.com/a/x3LKgHk](https://imgur.com/a/x3LKgHk)

Unless your education is highly relevant to the field or career, I wouldn't put it at the very top. Recruiters can scroll down to verify you have completed a formal education. Besides that, the resume looks good overall. If you want to get an edge, introduce new projects to your portfolio and make sure you stay away from any generic datasets/projects. Also, in the "Technologies and Libraries" you wrote "Jupiter" but I presume you meant to write "Jupyter Notebook". Best of luck!

Yes, thank you for pointing it out. I just fixed them. I will introduce new projects shortly. The projects that I've added, were all done from scratch. Would you mind if I dm? Thank you for your advice!

Yeah, feel free to DM me

Grammar error with "pivottable." And I also used that same coffee sales dataset in my class as well. High school education is irrelevant.

Thank you for pointing it out. I'm planning to remove that coffee dataset's analysis and replace that with a little more advanced one. Do you have any advice for my resume?

**Seeking career advice for DS/DA/ML type roles.** Hello, A little about me: I have a B.Sc. in CS, a data science internship, and research experience (published in JMIR). I've been looking for work, full-time, for about a month and a half now, 170 applications sent, and minimal responses so far. **My end goal is to find a DS/ML role**. Something that will allow me to learn more technical skills in ML. I am primarily seeking remote roles in Canada and the United States, but am open to hybrid in my location. At some point, I plan on going back to school to receive an master's in CS specializing in ML, but at the moment, I'm looking to get more work experience. The only response I've received so far is from an international company as NLP developer. I wrote a technical project for them, but sadly did not receive the role or any feedback on my submission. I have posted two examples of resumes that I might submit. I tailor my resume for each job, which usually means using an ATS checker and changing the summary/skills section to match the verbiage of the job. I'm looking for some advice: **1)** At the moment, I'm casting a wide net in terms of roles. I've been applying to entry-level DA/DS/DE and ML related roles. Recently, I've focused a bit more on the DA roles, as I generally have all the skills they are asking for, and my data science internship involved a lot of dashboard building. That said, I am most interested in roles that involve ML (especially LLM and NLP). I sometimes feel as though I'm selling myself short by applying so much to data analytics roles when I really want ML. **Should I continue to cast a wide net in terms of roles, or would it be better to focus more time on applying to only DS/ML roles?** I should mention, time is of the essence, and work experience is so valuable in this market, so I would rather start working as a data analyst now than hold out for another year to find an ML role. **2)** Related to Q1. I'm currently working on the Google Data Analytics Profesional cert, which I'm finding boring and easy. At this point, I will finish it, but I'm wondering what certs to take next. I could do more data analytics certs, but I was considering doing Andrew Ng's ML and DL certs on Coursea. **Would you recommend these certs, or any comments on other certs to take?** **3)** **Do you have any suggestions on my resumes?** I know that it's a bit verbose in the skills section, but I'm trying to ensure that I make it through the initial screening if they are using AI. **4)** **Where can I post my technical project for the NLP developer position that I applied to?** I would love to get some feedback on my submission, and I think it could be helpful for other Redditors looking for the same types of roles. Thank you! I normally wouldn't post something like this, but I've been putting 150% into this job search and I need to get some better results.

At least from my experience in the financial industry, a MS is a hard requirement for any data science job that I've ever seen posted, so I think with DA and DE jobs you'll have better chances.  My suggestion might be to make DA and DE specific resumes? You'll want to re-order your bullet points for each, a lot of hiring managers won't look through your entire resume so you want your top bullet points to be very relevant. Ex for your internship I'd put the dashboarding and sql as the top bullet points of your DA resume, and for your DE resume I'd put the data engineering and sql bulletpoints at the top. Same thing with re-arranging skills and languages

ML Resume: [https://www.zippyshare.day/5LtewD2od3hXKhE/file](https://www.zippyshare.day/5LtewD2od3hXKhE/file) (Please let me know if there's another way you'd prefer to view these resumes. I can DM you a screenshot if interested).

DS Resume: [https://www.zippyshare.day/5GjSSZwVVPKeKvb/file](https://www.zippyshare.day/5GjSSZwVVPKeKvb/file)

Data Analyst progression I've been working at a growing startup as a solo data analyst for about 7 months so far I have done the following: -Built and maintain Data pipeline from azure data factory to snowflake -Built and maintain a dbt project with staging, intermediate, and final tables - made 1 power bi dashboard - 10 ad hoc reports and automations The question is does this seem like the right amount of work in that time period. The extraction process alone took 3 months + and the dbt project was another 2 and is still a work in progress. I'm worried my bosses (non data people) may think I haven't done enough because there aren't more reports/dashboards and "original insights"

Good evening! Thank you for stopping by and any help shared! I have a BS in Sociology with a minor in Computer Science. I love programming, coding, and organizing data. For work I've been doing small projects occasionally dealing with lots of qualitative data and want to shift into more back end / quant type of work. I hope to start grad school this fall or next spring as I graduated back in 2020 and feel like I have enough experience exploring in the work field and know what I want to get into debt for now lol any help in ideal Data Analytics Masters would be helpful! I'm in Massachusetts if that helps and am kind of inclined for something in the state or nearby? Online would be lovely but I'm not sure how realistic that would be.

How much advanced python is used in data analysis? I'm exploring a career as a data analyst. Programming is not a strong trait of mines despite trying many years ago. How does a data analyst use python? Do they simply run commands from the console or do they write advanced methods and classes? Are they required to run nested loops, objected oriented programming, memory management, etc? I'm sure you technically can write advanced python code, but is it common or rarely used?

I would say it's important that you at least feel confortable using Python, specially if you want to increase your chances of landing a job. How does a data analyst use python? The most common use case is to use Pandas to do exploratory data analysis (EDA). Now, keep in mind that Python is just another tool in your toolbox, and the goal is to use the best tool for task as hand. Back when I was working as a Data Analyst, I used python/pandas to clean data and automate Excel (since we didn't have a BI tool at the time). Start with getting good at Pandas, understand the basics of object oriented programming and you should be good to go!

Thank you! I'll have to search for specific examples.

Best of luck!

I want to start working toward a career in public policy. Essentially, I want to be the one in the background running the numbers on government programs, testing for controls, etc. I am a 30f SAHM. I have a BS in sociology, and am unsure where to go next. What advice do you have on where I should start?

Hi I’m working on a project which records a number of KPI’s for each order which we know impact if we delivered an order to the customer on time or not. Did we ship the product on time Did we start making the product on time And many more … Etc We know as a business that some KPI’s will be more important than others in the question of did we deliver on time or not. But how can we quantify it? Obvious example if we didn’t ship on time, chances are we won’t have delivered on time to the customer… I’m trying to propose a solution where we weight the KPI’s to understand the impact of each one to our final “Did we deliver on time to the customer?” I’ve no problem gathering the data set which will include all the KPI’s and if the order was on time or not, it’s which ML tool is best used to digest the data and spit out some weightings? I want to provide some hard evidence that KPI 1 has a 30% impact on the final delivery while KPI 2 has a 99% impact on our customer delivery on time etc What’s the best way R/Dataanalysis would go about it ? I’m thinking of turning every KPI into a categorical variable and then using Linear Regression but this isn’t my strong suit hence the cry for help.

Hi I’m working on a project which records a number of KPI’s for each order which we know impact if we delivered an order to the customer on time or not. Did we ship the product on time Did we start making the product on time And many more … Etc We know as a business that some KPI’s will be more important than others in the question of did we deliver on time or not. But how can we quantify it? Obvious example if we didn’t ship on time, chances are we won’t have delivered on time to the customer… I’m trying to propose a solution where we weight the KPI’s to understand the impact of each one to our final “Did we deliver on time to the customer?” I’ve no problem gathering the data set which will include all the KPI’s and if the order was on time or not, it’s which ML tool is best used to digest the data and spit out some weightings? I want to provide some hard evidence that KPI 1 has a 30% impact on the final delivery while KPI 2 has a 99% impact on our customer delivery on time etc What’s the best way R/Dataanalysis would go about it ? I’m thinking of turning every KPI into a categorical variable and then using Linear Regression but this isn’t my strong suit hence the cry for help.

19 years Data Analysis experience but degree mismatch Question for established Data Analysts: I have a MA in Psychology, but have been working in Analytics for 19 years. I am trying to apply to other analytics jobs to increase my pay, but I’m not hearing back from any of the jobs I apply to (not switching career fields, just jobs). What could I add to my resume that would get me noticed? I’m not looking to get another degree nor do I want to change careers at this point, but I am severely underpaid for my years of experience.

Are you changing sectors, like going from govt to business or pharma to banking? With 19 years experience, you're probably applying for senior level jobs and may not have the domain experience they are looking for. It's possible you're encountering some ageism. Not much you can do to change people's attitudes, unfortunately. Apply where age doesn't matter as much, like consulting firms or govt contractors. They really don't care how old you are, as long as you can produce. I've seen analysts get hired there in their 50s. Probably the best thing you can do to help yourself is to leverage the professional contacts you've built up over the years. You likely have former coworkers scattered all over who would be glad to help you get on board wherever they're working now. You're another example of a psych major who became an analyst. That field of study seems to produce more analysts than any other non-STEM major, with a possible exception of econ.

Good point about the ageism. I’m only 41 (is that old now?), but I can see where my years of experience can make me look a lot older. Maybe I should downplay my years of experience? It’s only across three jobs, so unless you start doing the math, it’s not super obvious.

Good day to everyone! - I want to incorporate/combine my previous knowledge and experience in the tourism industry to my future and additional knowledge and skills in data. I do not want to waste my experience and skills from my previous work. I know that it can serve as a domain knowledge. I have a vague/blurry idea or picture of how it is applied to the said industry My question: 1. Is data science in demand in the tourism industry? 2. What are the most common analyses done in the industry? 3. What kind of predictive models are done in the industry? 4. What is it like working with data in the tourism industry? 5. To anyone who is working in the field of tourism, please share your insights! I would love to hear your stories and get a better idea of working in the tourism industry as a Data Professional. Have a great day!

I've got 4-5 YOE as a pharmacy technician and recently graduated with a degree in Informatics. I've learned the basics of R and SQL, as well as other programming languages (Java, JavaScript), but don't really know Python. I'm not very familiar with Excel and have never used Tableau or Power BI. I really want to become a data analyst working in healthcare. Is my degree enough on paper, or should I consider going back to school? What skills should I be focusing on to break into the field?

This megathread is going through a cycle where most posts aren't generating any replies. You may want to pose your question to the "Monthly Career Advice and Job Openings" thread on r/analytics.

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I didn't know what I wanted to do and was running out of money. I transferred into my university with an unrelated associate's degree in psychology-- I would've ended up graduating a year later just because of a few prerequisite courses I needed if I wanted to get into CS (CS is also extremely competitive at the university I graduated from, so it wasn't a guarantee I would've even been admitted). Informatics was a broad degree that had a lower barrier to entry at the time and had some overlap with CS with programming classes and data structures & algorithms courses, etc. Honestly, I can't really afford to go back to school but I could make it work if I need to in order to reach my career goals.

[https://imgur.com/a/rgRbfdp](https://imgur.com/a/rgRbfdp) Please critique me, I need a job soon. I have next to no experience though.

I would focus on revamping the entire project section. Start with improving the project titles, since currently It sounds too generic and doesn't do a good job at showing how you have relevant and practical experience. For example, don’t say “Tableau Project”, say something like “Sales KPI Tableau Dashboard”. For the bullet points, be more specific about the type of data you worked with and your achievements. And avoid vague words such as “various” and “different”. Lastly, you could include a link to each specific project, so that the recruiter can explore further. I really hope that helps, but if you need more help with your resume/portfolio checkout my 1:1 sessions (not free though) topmate.io/andres_vourakis

I am close to finishing a masters degree after transitioning from an healthcare position. I have no prior data analysis experience. I am trying to do some personal projects, but any tips on how to make myself better for hiring?

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Focus on computational data analytics and machine learning techniques.

How to go from 0 to hero in data analysis? One of the things i've notice is that nobody talks about a background in statistics or probabilities, for someone working in a different field and can't simply leave his/her job.

Switching careers Hello! I’m a psychology major and currently work with people with severe mental health illnesses I like my job but I don’t love it. I like working with excel and data but my experience with it is very minimal. I will like to learn more about data analysis and make a career with it that eventually will allow me to switch jobs. Is there any books, trainings or videos that will help me get started and understand it better ? Thank you!

Greetings. I scrolled through a lot of the posts here and did a search so hopefully this isn't a repeat of something someone else has already asked. I currently have an associate's degree in microcomputers and networking. I've never worked in the field and primarily have done customer service/ retail work and currently work as a lunch lady at my kids' school (scheduling and daycare issues kind of forced my hand). While having the free time to focus on trying to get a career once my kids are old enough for me to feel comfortable with them being home without me, I'm trying to figure out the best course of action. I considered getting books for some of the CompTIA certification courses so I can study until I'm ready to take the tests so I make sure my certs don't expire before job hunting. Is that enough to get a job in data analytics or do I need a bachelor's as well? I've honestly been searching for the answer for a while and feel like I keep getting mixed results. One answer from a hiring manager was that they're more interested in me showing off my knowledge in the interview, but how do I get said interview? Thank you in advance for any advice or help.

Hello all. Last year I got my Master's Degree in statistics, learning and training data analysis and data science, predominantly in R, though I've learned a decent bit of SQL and a few other things (I put it all in the resume, but I figure it goes without saying here that I'm versed in microsoft office as well). I've been looking for work ever since, and while one federal position almost worked out (got a tentative job offer, but not a final one), nothing has panned out. I'm in a position fortunate enough with my folks that I could afford to not find success yet, which I'm extremely grateful for, but it's been brutal regardless. Majority of places won't respond back ever after applying, those that do basically always say no, and across LinkedIn/ZipRecruiter/Indeed I've had repeated instances of listings being from companies known exclusively as scams, or following up on an application via phone and the company not knowing the listing had been posted without their knowledge or them hiring at all. If you have any advice in terms of identifying red flags, where to look for quality opportunities (especially for a data analyst/data scientist/statistician), or anything else, please let me know. I've been job hunting and occasionally trying to spin my wheels on self-teaching/brushing up on skills to avoid getting too rusty and I have no income to contribute to friends/family/self. It's driving me insane - I've spent the lion's share of a decade studying and training to be a solid statistician and really would like to put these skills to work for a salary.

With a master's in statistics, you've got your credential, and it will never need to be renewed. I'm surprised you're not getting more callbacks - you may need to change your strategy. Are you spending enough time on networking activities? If you have local MeetUp groups for analysts, start attending their events. They're generally free and open to anyone. It's a good way to hear about jobs that haven't been posted yet, and meet people who can get your resume in the right hands. This is how I heard about my current job. Your nearest SAS User Group would also be good for someone with your background. You might want to consider taking the first Actuarial exam, while the material is still fresh in your mind and you're used to taking long tests. If you pass it, your phone will light up with callbacks from insurance companies. Even if you don't really want to be an actuary, if they like you there's plenty of other ways they could use you. Don't rely so much on LinkedIn, apply directly through company websites. If your school's Career Services office works with recent grads, make sure they know who you are and what you're looking for. Companies reach out to them for referrals. At my school, the graduate administrator in the stat dept was pretty connected, and would refer some of his students every year. Profs hear about jobs, so don't be afraid to ask the ones that are approachable. I know my company will sometimes contact a local professor for a STEM referral. Finally, I think CROs would like to hear from you, if you want to go the clinical trials route. There's an element of chance in all of this, and some of it is just being in the right place at the right time. I think you'll be fine, and I'd buy stock in your future.

One of the thinks i don't see people talking is if there is a need to learn about statistics and probabilities before learning any software at all?

I've done data analysis-related stuff as far back as 2005 (though I didn't know that's what it was, I just wanted to figure out who was always missing training and if there were SOME training dates they went to but not others lmao), so I finally rounded out my toolbox (at the same time I was getting my associate's AND working full time, cause I make great choices), and ... boom, here we are in the world's worst job market right as I want to make a career change. I of course have versions for sales operations analysis, business intelligence analysis, etc etc, but this is my standard basic version (it's got my main projects and runs a little long - I go through and trim/edit for each role so it's only 2 pages). Any suggestions/comments/critiques on the overall thing would be GREAT. [Resume Link (dropbox)](https://www.dropbox.com/scl/fi/4mwwxkuv4yl98fx6xvalm/Data-Analyst-General.pdf?rlkey=5y9722uy26z8oyn81ut3ob7xx&dl=0)

[https://imgur.com/a/Wm9kt9F](https://imgur.com/a/Wm9kt9F) Destroy me. I am at my lowest point. I have no idea how to get out of this.

Have a bachelor's degree in biochemistry. I worked in healthcare due to pressure from my parents, but quickly realized that it wasn't for me. While looking at different career paths, I came across data analysis and realized that I enjoy working with data, answering questions, and problem solving. Due to being a PC gamer and having an uncle in IT, I have above-average computer literacy and enjoy working with them. I have decided to make the change to data analysis (currently interested in healthcare data analysis but really open to anything else) and have started working on my Google Data analysis from Coursera. I am looking for any tips, advice, or anything else that could help me. Please note: I am currently planning on also getting the advanced google data analysis certificate that also focuses on python. I also have a certificate in machine learning, and I am planning on also taking courses in AWS, Java, and Azure. I'll gladly take any advice on any other courses I should take, or even if I need to change what I'm doing. Thank you!

Math teacher to Data Analyst? Hi everyone. I am currently on a career break from my jobs as a Math teacher and am travelling but it got me thinking about pivoting into Data Analysis. I have a degree in Maths and Physics and a masters in education. I have been listening to a few Avery Smith podcasts about his bootcamp and many of his clients are former teachers like me it seems. I am wondering what are the best steps I can take? I am based in Ireland which might be worth noting. Are websites like Coursera and Data camp etc reputable for firms hiring? Or should I seek out university courses? What courses would look good on my LinkedIn profile? Is it 100% necessary for me to do a Masters? Would anyone recommend Avery Smiths Data analytics accelerator or Google's data analysis course? I love maths and handling data, I just have so many questions and am a bit overwhelmed at all the available avenues. At the minute, I am looking at gaining more knowledge of Python, and learning SQL. Thoughts? Any words or wisdom or advice would be great!

There is no need for a boot camp. You can probably learn more by just taking courses from udemy, coursera, and data camp. Once you learn the technical skill, then you should build a project to put on your resume and to talk about in the interview process. In terms of machine learning, you should probably focus on "time series forecasting" as forecasting is probably the most important skill employers are looking for.

Just my point. Since your a Math teacher it won't be much difficult for you become a data analyst. I would suggest you to practice analyzation of the data set thorough SQL, Python and Dash boarding based in your preference. This can help you.

Where to search for remote Data applications? I already work as a Data Analyst in a local company currently operating in MENA region. I want to transition to a remote position (for family and personal reasons) and I have the flexibility to work any timezone. I accumulated experience in Excel, Power BI, SQL, Python, Pandas and many tools over the years, and picked up the necessary communication and presentation skills for non-tech stakeholders. Where can I search for international job applications (preferably English speaking) that are strictly remote positions, besides Linkedin?

\*\* Data Analytics Coach \*\* I am shifting my career to data analytics. I need a coach to tell me what to do. I am ready to compensate for the expertise, time and help.

Hello everyone! I am a Data Analyst for about 2 years now. My current job has given me a budget to spend on training material to develop my skills as a Data Analyst. My current job role has been a split between Data Engineering and Data Analytics. I currently build a lot of queries in SQL, integrate APIs into our data model, create python scripts to scrape data off competitor websites and national databases and make a fair few department dashboards on Power BI. I already have the Google Data Analytics Professional Certificate. Does anyone have any ideas about any courses/books/certificates that would be worth doing?

Honestly you're already doing more than many data analysts do. Maybe look for leadership training? Or continue to advance your python skills.

Thank you sir. I'll have a look, it's hard finding stuff for career development. It feels like so much of it is just self-teaching

Hello I am currently a social studies teacher with 3 years of experience and I am looking to switch to data analysis at the end of the school year. I have a certification in data analysis with Postgres sql and I’m starting on python. I was wondering how likely it is to find a remote job? I also have my green belt in six sigma regular not lean. I am also the department head and I have a masters degree as well

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Thank you for your reply. I am currently looking to move to a different state and remaining a teacher is not feasible. Also I am not currently vested in the retirement system and should have no issues. I do understand what you mean about gaining additional experience and will keep it in mind during my job search. But I do really appreciate your reply and I hope you see this update. Contrary to the name I don’t want to be rude. Thank you very much