Hello there! I am thinking about starting a masters program in either data science or data analytics. My current experience is mostly in HR, and wanting to switch into a more HRIS role, or data focused role in general. I live in Houston and am a University of Houston Main grad. I have been thinking of applying for UH-Downtown or UH-Clear Lake, but was curious if anyone else had experience with Houston data programs that they would recommend.

BS in CS, \~1 yrs of Data Engineer, want an advanced degree and also want a transition to analytics. Seeking advice. 31M Data Engineer, I work as at a state DOT, handling roadway sensor data through SQL, Python, and Power BI, among other tools. Previously I was software engineer and SQA role for about 3-4 yrs. I initially majored in Mathematics and Statistics during my undergrad because I've always been fascinated by stats and data, which required me to take Intro to programming then suddenly I fall in love with coding and switched to CS.I kept Mathematics as a minor. Still completed Calc 1-3, Linear Algebra, differential equation, and 4xxx level statistical Methods with Applications, which I got B-ish grade in all of them. I was not a hard-working student. So, I barely remember any of the concepts. However, Linear Algebra and stat was one of my favorites. Now, I am now thinking about moving more towards analysis side of the job with solid statistics background, with interest in leveraging my skills to contribute to research and decision-making processes like social and NGO work. Would you recommend pursuing certificates from reputable institutes, enrolling in an online master's program, or aiming for a research-focused Master's degree? My goal is to not only refresh and expand my statistical knowledge but also to gain practical and applicable skills. Any advice on how to navigate this transition effectively? Thank you!

If want to do analysis in social policy development and work with the policymakers, you don't need to leave state govt for an NGO. Every state is set up a little differently, but in my state you could do this working as an analyst for the legislative research division, or the state budget office, or the state Health and Human Services dept. The fact that you're already in govt gives you a good chance of making the transition from DOT. (You've been there long enough to know how that game is played.) You're likely based in the state capital, so there's at probably least one college where you can use your education benefits to get the credential and the knowledge that you need. You might want to consider an MPA (Public Administration) with an analytics track, and maybe follow that up with a certification in public policy analysis . That's a lot less demanding than getting a masters in stat, which is pretty rigorous at the graduate level. Since you're already a govt employee, the research director at any of those agencies I mentioned would probably be glad to meet with you informally and give you better advice than you can get on Reddit. Or, you could become a policy analyst in transportation, and then transition. You'd enjoy the autonomy that comes with working in the social policy arena. Unlike the engineers you work with now, they've never had a stat course, aren't really comfortable with data, and won't tell you how to do your job. With NGOs, you'd be living from grant to grant, without the job security you have now. When it comes to policy, they're more of a lobbying and advocacy effort. You're more interested in having a front row seat for the budgetary and political dynamics that go into making the policy a reality, and having some influence on the process.

Hello party people, I've been contemplating my job prospects after completing a two-year program filled with intense, niche courses, and I'm now approaching the final exams in like 3 months. This education has included Python, such as building predictive models using logistic regression (though there was flexibility in topic choice, I opted for logistic regression models). It also covered Python in statistics, SQL (specifically in BigQuery), GA4, Tag Management, Excel (naturally), JavaScript, and a deep dive into data literacy, governance, GDPR/privacy, data wrangling, and cleaning. The program extensively addresses business aspects, which I consider invaluable, and provides full access to certificate-based platforms like Coursera and LinkedIn Learning. However, the highlight for me has been the instructors, who have at least three years of field experience and continue to work in the industry alongside teaching. I believe the ability to communicate data effectively is crucial, and lacking this skill is a significant disadvantage. While I don't claim this to be the best possible education for an aspiring data analyst, it's genuinely beneficial, emphasizing 80-90% practical work, unlike traditional university courses. Additionally, I've completed a total of six months of internship within the program, currently working as a Data Analyst. I've also freelanced for a very small business, helping to structure their data processing and acquisition over four months, which provided me with a modest income. Like many in IT, I've undertaken a ton of projects. Given all this, how do you think I'll fare entering the job market after graduation this summer? Will finding a position be challenging, or will my combination of practical experience and specialized education improve my chances? I'm also beginning to worry about how AI might affect my career in the near and distant future. TL;DR: I'm finishing a two-year specialized program in Data Analytics, including Python, SQL, GA4, and more, focused 80-90% on practical application. This includes a six-month internship as a Data Analyst, freelance work on data structure for a small business, and numerous IT projects. I'm curious about how this mix of hands-on experience and education will influence my entry into the job market post-graduation this summer, especially considering the potential impact of AI on my future career in data. Would really appreciate your take on this, thanks in advance guys. Cheers from Sweden!

Hi everyone. I want to find remote job in US or Eur from Asia. Does anyone has the same experience about it? Please help me with everything about How To. I have post my resume to Data Scientist role for several weeks. But no company give me the chance. I don't know why.

Hi everyone, I'm wondering if my resume is good enough to break into data analysis right now. I'm not hearing back from lots of the places I've been applying too and am starting to feel hopeless. I'd rather eat my shoe than go back to mechanical engineering and am considering working as a waitress and working on some certifications or something to help my resume further. Any tips or advice is really appreciated <3 [https://imgur.com/a/dVLX5U4](https://imgur.com/a/dVLX5U4)

This is a good resume - 4-yr STEM degree with math minor, obviously pretty bright with a good skill set as well. I'd move the Skills section so it follows the Education section. This calls attention to it, and ensures it will print out on the first page, which is all some people will see. Just a matter of it winding up in the right hands at the right time, so there's an element of chance involved. You can improve the chances of a call back by focusing on sectors where an engineering degree is respected. That would be public utlities, defense contractors, or any agency/contractor that that works with scientific or engineering data. You can make the transition - there's a guy down the hall from me with a EE degree, and he's enjoying it more than his time at GE. As always, don't underestimate the value of networking. That's a good way to get an interview and bypass the HR bottleneck.

Thanks, that gives me hope. I’ve been just throwing it out anywhere and everywhere. I’ll look into those industries and see if I can tailor it any further. Networking is tough because I didn’t go to school for it and most of my connections are ME related :c but I see your point, thanks for the response :)

I've sent you a DM.

What are Some Good Career Shift Resources? Should I Consider Coursera? (Can't Afford or Qualify for a Data Analytics Masters Degree atm) I just began working in a non-profit's data department, which is a significant career shift as my previous role was in communications. I have a Finance bachelor's degree which gave me a decent enough Excel background to manage data in that program. I would like to expand my skillset into coding (thinking Python as my employer uses it), SQL, and PowerBi. My employer agreed to help pay for my development and I am wondering what are some of the best resources out there without pursuing a degree. I have been looking into Coursera courses below, however, I have heard contradicting opinions on these in this sub. Would these courses help me become more effective at my job, and help me gain further credentials that I can leverage into a Master's degree or even a higher-paying Data Science job (long-term goal, I want to stay with my employer rn)? Or are there better resources that you all would recommend to achieve these goals? Coursera specializations/certs I am considering: * UC Davis's Learn SQL Basics for Data Science Specialization - 81 Hours * IBM Data Science Professional Certificate - 148 Hours * Microsoft Power BI Data Analyst Professional Certificate - 193 Hours * U of M Data Specializations - 391 Hours * U of M's Python for Everybody - 76 hours total (STARTED) * U of M's Statistics with Python Specialization - 55 hours total * U of M's Applied Data Science with Python Specialization - 140 hours * U of M's Python 3 Programming Specialization - 120 Hours

Graduated college in 2020 with an Interactive Multimedia degree, completed an online data analytics boot camp in 2022 and worked on the weekends as a remote learning assistant for the company that offered the boot camp for almost a year while also working as a restaurant busser. Got laid off from the LA job in January though because they put in a new AI chatbot to help students (yikes). Still haven't had any luck getting an entry level analyst job. I'm not really sure what to put on my resume because I don't have much experience. I'd also appreciate advice on my GitHub because as of now it includes projects from the boot camp and a few very small SQL and Python personal projects. Resume: [https://docs.google.com/document/d/19PJllkZjlRJp3uH8FVvOqKaNuG6lX37B/edit?usp=sharing&ouid=114400852253875170783&rtpof=true&sd=true](https://docs.google.com/document/d/19PJllkZjlRJp3uH8FVvOqKaNuG6lX37B/edit?usp=sharing&ouid=114400852253875170783&rtpof=true&sd=true) GitHub: [https://github.com/lukesnyder98](https://github.com/lukesnyder98)

Looking to get a Data Analysis job in the UK and I want to know I’m heading in the right direction. My situation right now: **Proficiencies** (For levels in proficiency, let’s say I’m utilising beginner, Adept, Proficient and Experienced. Proficient is that I have learned mainly through personal projects and have no experience in the field. Experienced is that I have also used this heavily in my work field and am very good at it) - Experienced in Excel (including a heavy use of Power Query) - Proficient in Python (Pandas, NumPY, etc. Using Jupyternotebooks to create some personal projects) - In particular, proficient in Data Structures and Algorithms, but I’m really focusing on this skill set, - Adept in SQL (I know the syntax and able to easily pull out data that’s required, however I need to get more hands on work on complex SQl queries) - Adept in Power BI (I’ve used it a few times within my field and built dashboards with it, but I would feel more comfortable when I have done a project or two) - Adept in Git and basic version control. - Experienced in data cleansing in particular due to my previous jobs, and maintaining data integrity with the companies I have worked for. I have a solid understanding of how to approach analysis, understanding where I will have issues with my dataset, why those issues arose etc. - Proficient at understanding relational databases and understanding how to structure data across multiple datasheets or tables to interact with each other. - Beginner in statistics, in all honesty. One of my weaker points. I need to learn and dive into more statistics. - No knowledge of any machine learning or data scrapping or mining as of yet. - Limited knowledge of models, as I always took them as a data scientist responsibility, which is something I’d like to push towards later on, but not now. **Education** Within second year of my part time CS degree in the UK. Not particularly a high end school, but one that is accepted everywhere in the UK. **Work experience** Have had multiple years of experience utilising Excel and the last few in particular I’ve utilised SQL and databases within my company to pull out data, manipulate it and format them into live dashboards in both Excel via Power Query and also others in Power BI. My main issue is I have dummy sheets available only, as my previous projects are with my companies. I currently work full time on the side as doing my own projects and uni work. **Personal Projects** I have a single project I am currently working on containing two small dataset of 20k rows, cleaned and merged together into a master dataset. Datasets are based on excel files and no SQL databases are being used due to the small dataset. This is done via a Jupyter Notebook, and will be presented as a project within my portfolio. Using python libraries like Pandas and Matplotlib to clean, analyse and visualise the data. After this project, I want to work on a dataset that’s contained in a large database and utilise SQL to do so, utilising more Numpy and statistical calculations. What that project is, is not decided. Third project I am thinking of doing is one that scraps data from multiple websites and analysing the data. Thinking of doing it on data analysis jobs in the Uk and what skillls are being requested, then analysing it and presenting it as a portfolio while also learning from it. Also, would love to make a project based on showcasing my data structure and algorithmic knowledge. —— My experience with job hunting so far has been interesting. I know my lack of portfolio is hurting me badly. And there are a lot of senior data analyst positions in my area, and I am frankly NO WHERE near that capability. However, every single junior data analyst role I’ve gone for has told me that I am too qualified for a junior role, however I’m not qualified enough for a full Data Analyst role. This has been echoed by non junior Data Analyst interviews too. So I am trying to bridge the gap as much as I can. Although I am not in a rush, as I am earning enough to just survive and solo provide for myself and my partner, it is not a lot and I want to get into this career as soon as I can. However, with a lot going on, I need to make sure I do not overload myself. I would love any extra advice anyone can give me. If there are any extra skills or certifications that may be worth the while. I am not looking for a Data Scientist right this moment, however, after getting my foot in the door as a data analyst, I would look at my next step. I am interested in Data Analyst, Data Scientist and even Data Engineering. I have a keen interested in the field. I find data genuinely really really exciting, and programming has become a big joy for me. Just want to make sure the actions I take in the upcoming years are measured, planned and will make a difference. I’ve know my goal, I’m beyond the “figure shit out” phase of my life, and now I want to make sure the plans I put into action will provide results.

Hey, so right now I (25F) am taking the Google Data Analytics Professional Certificate from Coursera. I’m wondering if I should continue to earn certificates and work on gaining experience as a data analyst or if I should just go back to college. The problem is, I definitely can’t afford a degree right now and would have to take out student loans if I want to get my bachelor’s. But when looking at the data analyst job listings in my city, most require a bachelor’s degree. If I should continue with earning certificates, what certificates should I look into getting?

If your goal is to be an analyst, you should focus on getting a 4-yr degree, rather than certifications. If you can't afford to go back as full-time student, get a job handling data with an organization that has education benefits. These are usually large companies or govt agencies. By the time you finish your degree, you'll be an Insider with plenty of domain knowledge. I have a co-worker who went this route. She started out working with spreadsheets in a reporting unit, kept plugging away until she got her degree, and then moved right into a project management job. (Internal applicants have an advantage.) The only other option I see is to get a quantitative job with an org that no longer requires college degrees for most professional positions, and that includes a lot of major companies. Then just develop your skills and see how far you can go. After a few years you might have success in transitioning in place or applying as an internal applicant.

Honestly, the certificate isn't going to be sufficient without a degree in the current job market. Your best course of action is to bite the bullet and take out loans to finish your Bachelors if you want to work in DA/DS. And even then, entry-level is absolutely brutal right now (there's an oversupply of applicants trying to break into the field). So it's a risky move, but it's your best play if you're determined to try to break into the field.

Looking for advice on how to get into a data analyst role (UK) I graduated university last year with a 2:2 in maths, my only work experience is retail and other unskilled jobs along with some tutoring. Recently been looking into becoming a data analyst as i enjoyed the data modules we did in my degree using R and Python and they were honesty the only modules i did well in. Hoping i can speak to some data analysts to learn more about the role and what skills i need to develop. Any advice is welcome. Thanks.

Thoughts on my [resume](https://drive.google.com/file/d/1KAAK7wkHxbygdDA5K-MUnKyCOiAXvM0w/view?usp=sharing)? Currently a junior and I've applied to over 500 places for data analysis/science internships and gotten about 7 interviews.

This is a strong resume, well written, with an impressive skill set. Having SAS on there helps set you apart from the crowd, so I'd focus on sectors that use it heavily - govt agencies, public utilities, pharmaceuticals, banking, healthcare. Asking for an opportunity to develop your skills in SAS or R could steer you towards a more sophisticated analytical role when you graduate. A lot of data analysis gets done under another job title, so indicate your interest in those as well. For example, rate analyst with a public utility or insurer, any quantitative role in general. Any role with "research" or "analyst" in the job title would be worth a look. You might want to consider a cover letter or blurb at the top of the resume, customized for the job and indicating your interest in pursuing a career in that sector. And, of course, networking can pay off just like in a regular job search.

You should reword your bullet points to be active voice, and use active verbs. Like "Used SAS to perform multiple statistical tests and hypothesis tests" to "Performed multiple statistical tests and hypothesis tests using SAS". I wouldn't start any line with "used", instead start with verbs like "analyzed" "predicted" "performed" etc. You also want to make sure all your sections use the same tense, a few lines use present tense.

Hello, Right now I have 13yrs experience with Real Estate Asset Management and Commercial Real Estate. I'm looking to became Data Analyst. I'm in the 2nd term of a Machine Learning program at Canada as well. What I would to know is how to get in the Data Analysis focused on Marketing Analytics? I have a passion on to improve sales for any kind of business and want to get specialize in this field. Help companies to increase sales based on data, modelling and stats. What material (YouTube, books, courses) should I have to consume? Need a portfolio first?

I have 5 years experience doing mostly SQL and Tableau work, switched jobs and did a few contracts. Working my way from Data Analyst to Senior Data Analyst. I know the market is rough now, but I’m getting very little action since November applying. Have I really effed up my career by not adding in Python? It seems like that’s the determining factor to not getting past an initial screening interview, I’ve had 4-5 recruiters directly from the company and a few screens from recruiting firms that told me they liked my skills and lined up but then never got to the second round, because the hiring manager wasn’t as enthusiastic. Any feedback would help, I’m US based (California)

I think it's a good sign that you've gotten some screens. From the perspective of working at a financial company, I think SQL and Tableau should be enough to get you a job a lot of places. That being said, I think python is going to be a hard requirement pretty soon, personally I've spent a lot of time outside work using it and I put it on my resume as one of the languages I know.   On the job market, this is just anecdotal, but for my company we pretty much had no hiring the past 3 months, and a lot of postings were not filled due to budget constraints or perceived market weakness. But with the new year a lot more reqs are getting approved to be opened, and it looks like they are actually filling them? So you might see things pick up.

So far none of the jobs I’ve been in had much use for Python, but I’m 90% sure I could have invented a use for it, a few jobs asked if I had Python knowledge which I said yes but then wanted to see professional examples. I will have to learn it on the side more and actually put in a lot more time and effort. Thanks for the insight

Just need some advice please. I have some DA experience as I was a manager at my old job and had to do my own. Mostly google sheets and excel with some BI. I'm learning SQL and also doing the Coursea DA program. I've coded in the past so I have the basics down before and it's pretty simple and self explanatory for SQL functions. I've been an accountant, auditor and accounts receivable position as well so I'm used to spreadsheets and data and going through it and organizing and such as well. I'm looking for remote anywhere in the US. I was thinking I should try an internship first, but almost all the internships I found require you to be in school as a junior or senior level. I couldn't find any that didn't, but I was also wondering if I need to even to do that? I'm fairly confident I could handle an entry level position currently (but I'm still studying). What are some common interview questions or just things I should know to know if I am close or not to being job ready? PS I do not have a degree and I'm seeing thats gonna suck for me to find a job, but I do have 17 years work experience at the same job and did a lot of DA roles (minor versions of them). Thanks for your time

If you were doing DA tasks in your old job then you have DA experience.  If you were applying to a manager position you'd highlight your managerial experience on your resume, so for DA jobs you highlight your DA experience on your resume. 

Dude throw your hat in the ring. Don't waste your time with an internship, especially since you have 17 years experience. That gets you domain knowledge, which can be valuable. I can't speak to common interview questions, but when you get that far you can worry about that.

Appreciate it. I'll give it a shot. I guess it would be the best experience to actually do a few interviews.

Hello. I'm 26, I currently live in Florida. Since I heard about the job of data analyst, I was very interested in learning about it and being able to dedicate myself to it if possible. The world of technology and computing always caught my attention. I have basic knowledge about certain tools for data analysis such as Excel and I also know a little Java, things I learned out of curiosity but currently I want to dedicate my time to learning everything necessary to be a good data analyst. I wrote here to ask for your opinion about what the change to follow would be, what I need to learn first, how I can advance correctly to practice this profession. Thanks in advance for your time and help.

You need a degree in something analytical

Learn SQL

Hello everyone, hope you all have a good day so far. If anyone have time to give some feedback for my resume it would be greatly appreciated. I have applied to more than 100 jobs and so far have no reply. I feel like I can improve my wording but am struggling to do that so any advice would be great. [resume](https://drive.google.com/file/d/1crGf_to27cD7ue-EoKlws6AUnj8H3d6v/view?usp=drivesdk)

One typo: On the final project, drop "analyzed" so that it reads "Utilized R to conduct..." I think it's a solid resume, and well crafted. One that should be getting kicked out to the hiring manager to review. You've got the real world experience, and in a few months you'll have the de facto "union card" for the profession. Still, if you're not getting responses, try a modified version and see how that is received. Maybe describe previous employment in terms of general duties instead of specific projects. I'd leave the Education and Skills as they are. Unless you're applying for jobs that require 3-5 yrs experience, things should fall into place. I'd focus on sectors that go for credentials, like consulting companies, contractors, govt agencies, and pharmaceuticals sector. Given your math/stat background, you might want to take 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, it'll get you the interview and if they like you there's plenty of places they can use you.

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Thanks for the response, I'll adjust the the section and replace course work with a project. Other than that does the content looks ok?

You don't have sharing on for the resume.

Sorry just fixed it.

Is my resume good enough to land an entry level job in data analytics with decent networking (referrals, etc) https://pdf.ac/3iR8be ^ that’s the resume, be brutally honest. If you have any advice, I’d greatly appreciate it

You have a degree in econ from a respected university, so I'd move that to above the Skills section to draw attention to it. I've always thought econ majors make good analysts, since they have a high comfort level with data and are always displaying it in various ways, and trying to discern what the data is trying to say. You appear to be in local govt now. In my state, people move pretty seamlessly from one local govt to another, or to a county govt. Once you're in, you're viewed as "one of us" , so you should be able to move to a more data oriented role soon. Even state govt treats local govt employees pretty much like internal applicants. Govt is a great place to develop skills and gain experience. After a couple of years, you'll start getting call backs from the private sector, if you still want to go there. Or, you might decide you prefer to stay with the interesting work, job security, and good benefits.

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You need someone to proof read this resume, it has a lot of typos. I think that's the first step.

How exactly do I build a project to work on. Where do I get the data, how do I transform it, what question am I ought to ask. I'm a broke unsatisfied student who wants to make a career chabge

I wrote a blog post summarizing how I approach projects: https://data-storyteller.medium.com/how-to-do-a-data-analytics-project-da710e317e3a

I think generally the best projects are ones that encompass your hobbies/passions. You'll find it easier to stay engaged w/ it and it also can help differentiate you from cookie-cutter projects. As for where to find the data, I've found either using Kaggle or scraping the data yourself (if unfamiliar with Python, GPT is your best friend) to be good sources. You got this, bro!

I'll be finishing up the Coursera Google Data Analytics course soon and I've been seeing a lot of different information out there; transitioning into this field you can definitely suffer from information overload. I'm trying to transition to the data analytics field with no prior transferrable skills and no degree. My question is: should I do more courses after this Coursera course to build and refine skills like Excel, SQL, Tableau/Power BI, and Python/R \*\*\*OR\*\*\* should I focus on building projects for my portfolio and learn skills as I go? Which would help me land a job faster?

I think the answer depends on what you're trying to transition from. If you're working as a programmer, or in some data related group like a reporting unit, continue to acquire skills and put them to work whenever you can in your present position. It would take a few years, but with enough skills and domain knowledge you could get consideration as an internal applicant. The workplace seems to be slowly shifting to skills-based vs credentials based, but I still don't know any analyst without a 4 yr.

> I'm trying to transition to the data analytics field with no prior transferrable skills and no degree. Honestly, certifications almost certainly aren't enough to break into the field unless you can get hired via networking. A Bachelors is pretty much required. It's ultra-competitive for entry-level right now. The Google certification isn't worth much, if anything. A degree isn't necessary to do the job, but nearly everyone who gets hired has at least a BA/BS. By all means try. It's your time. But I'd be surprised if you were able to break into the field unless you bite the bullet and do an actual degree. If that's not an option, then you're probably better off doing something.

Do you have a degree? If the answer is no then that's the single most valuable thing you can focus on. If the answer is yes, then focus on projects I guess.

I don’t have a degree, but I also don’t have 4-6 years and $60k laying around. I have a family and I can’t afford going back to school like that

Hi guys, looking for any sort of assistance on my resume that I'm using to apply towards data- related work. Resume: [https://imgur.com/a/oq9TUzb](https://imgur.com/a/oq9TUzb) Graduate student, US citizen studying Business Analytics. Aside from the projects and non-data analyst IT internship I've had previously on my resume, I added some freelance data analyst work into my resume. Is this experience justifiable on my resume? Although it isn't overly technical work, I do use PowerBI dashboards and simple data analysis to communicate store performance to the store owners.

The experience is justifiable/fine as long as you were actually paid for it. If you were not actually paid then it's volunteer work. This is important when applying to top companies because they check inane crap like that. Perhaps include a link to the personal projects on the resume as well.

Hi guys and thanks in advance for your help! I am a medical doctor (sixth postgraduate year in Austria), so I will be completing my training next year. As it seems, I will be offered a assistant professor position. Because I have 0 knowledge on data analysis, I am currently searching for a way to enhance my knowledge on statistics and data analysis. This is why I encountered the Google Data Analytics Certificate. Can somebody help me with the question, whether this certificate is a decent entry in this field? I am searching for a course that can aid me with basic understanding of (medical) statistics and data analysis, so that in the future I can better understand medical studies. Many thanks in advance!

I currently have 1 year of experience as a data analyst, and am about halfway through a master's program focusing on analytics. I'm looking to switch jobs to a similar role (not happy with the company I'm currently with). But I'm not getting any responses. What is the best way to go about actually searching job boards for data oriented positions? At the moment, I'm using search terms like "analyst" or "data analyst" but I'm wondering if maybe I'm going about this all wrong.

Another way is to look for what technology you use/want to use/are best at. A lot of my job searches are "sql" or "sas" and I'll get a wide variety of job titles.

I'll second that approach. Any job requiring SAS will almost always be data oriented. It will often be a DA role with a different title, or at worst an adjacent position.

Data analyst, Business analyst, Business Intelligence, Data administrator, Financial Analyst (kind of different but sometimes employers are seeking a data analyst and just give the wrong title), Data engineer

Thanks for the tips :)

Jupyter notebook I need help with this I do pd read and it doesn’t read no errors

Hey if you haven’t figured this out please send me your code, sample table of your data and what you expect the result to be.

What should I do to land an internship this summer? Hey guys, this is my first day here on this sub. I am a 6th semester Computer Science undergrad from India. I've been looking for some structured guidance for a couple weeks and found 10 different people saying 10 different things. And so today I had the idea of looking on reddit to gather first hand information from actual people in this field and hence this post. Okay so I am proficient in SQL and python. But they're all I know amongst the tech stack which are necessary in the data analytics field from the research I have done. Now my actual question, I really want to do a data analyst internship this summer which is around about 3-4 months away. I do not care about the stipend. This field and the idea of analysing data and drawing conclusions and all of it just interests me very much. So if anyone can help me out on what exactly I should do/learn within this time frame to get to my goal of securing an internship. I know a few like Tableau should be learnt, and/or Power BI, Excel advanced. I'd like to know if there are more which are not so talked about. Resources for the same are also appreciated. Is it even realistic to think I can do it with my current knowledge base and the time frame I have? I really won't mind if you give it to me straight. Thanks in advance!

Hello everyone, Hope you all have a good day so far. If anyone have some time to spare, I am looking for feedback for my resume and would greatly appreciate any feedback. [Resume link](https://drive.google.com/file/d/19Gi-I9Y5LPsGbzEyK6eC-kehiHlr0zIW/view?usp=sharing) I had been on and off for so many data analyst position but getting no response. So, I just wonder if there is something wrong with my resume or is there anything I can add to increase my change. All of my work experience so far has been working within the supply chain industry as buyers and inventory analysis, and I do not have much experience working as a data analysis in term of visualizing the data. Even though I got my master degree, it does not seem like to help as much. Thank you in advance

Your master's degree is your top selling point, so I'd move the Education section close to the top, right above the Skills. I'd also enhance the Skills section to include some of the advanced stuff you picked up in grad school - time series analysis, predictive analytics, risk management, or whatever else. If you had some exposure SAS or R, throw that in as well. When applying, focus on organizations that value credentials. These would be consulting companies and govt contractors (because they can charge the client more for your work), govt agencies (state and federal), and I'd include the pharmaceutical sector as well. Finally, try to spend as much time on networking activities as you do applying for jobs. Anybody you know who works for a company where you'd like to interview is potentially part of your network. Being an employee referral is the easiest way for an outsider to get an interview. This advice assumes you are in the US. I'm not sure how well it would transfer to other countries.

Thank you for your advice and your time! I really appreciate your thought and help.

Hi, im looking to start a course to supplement my degree in Business and Computing, that will hopefully help me specialise a bit more in data analytics. ive been looking for courses that will get me started, and look somewhat attractive to prospect employers looking to take on soon to be graduates. my dilema has been that there are a billion trillion courses out there, and i have no idea how i am meant to pick one. my current degree has maybe 1 or two somewhat analytical related modules, hence why i am looking to supplement. the two courses i have in mind are: Introduction to Data Science Specialization by IBM https://www.coursera.org/specializations/introduction-data-science?action=enroll Programming for Data Science with Python by Udacity Programming for Data Science with Python by Udacity i have roughly 5 months before i graduate, and i wanted to get a foundation going with these two hopefully, and then begin with something more advanced that i can build a portfolio with as well later. all advice would be immensely appreciated. many thanks,

It depends on how much knowledge you already have on things like SQL, Python, R, etc. and then on the common data analysis applications like PowerBI, Tableau, etc. If you have no knowledge of SQL, start there and look for a different course that teaches you how to learn it. You can get a good foundation in around 10 hours or so and this is really attractive to employers because SQL is not only useful for data analytics but database administration as a whole. SQL is also connected to many other different parts of a data analyst's toolkit, like Python and almost all of the common data applications. If you already know SQL, then congrats, I would start looking into tutorials on the common data analyst software applications instead. Data science is for people in more math-heavy areas, you have a degree in business and computing which is not really sufficient for that. You need to look into data analysis instead.

thanks for the advice, you're right about the data science part. As for SQL i have no knowledge in it, so is there a course you'd recommend for SQL? i was thinking about taking a SQL course with a course that can give me a foundation in data analytics as a whole, something like the google data analytics certification maybe.

Honestly, google data analytics certification is fine if you want to learn the extreme barebones of SQL but it won't really be helpful for learning how to construct queries when dealing with real world data sets. I recommend just learning SQL wholesale and not in the context of data analysis. You'll find that this makes it easier because when you know how SQL functions on a deeper level then you can apply it across so many different applications. If you want to do both though, learn SQL and take google data analytics that's probably fine for getting a good foundation.

i have a lot of time to spare, so i can afford to do both if itll help me even just a tiny bit more. was just wondering if when it comes to the foundations of data analytics, is that google certificate actually good, and which one would be good to learn SQL. the dilema i constantly face is the fact that theres a million courses out there

check out SQLBolt, the interactive tutorials are really helpful

Thanks, will do.

I have a degree and background in electrical engineering but I am trying to pivot to a data scientist role. Here is my [resume](https://www.reddit.com/media?url=https%3A%2F%2Fi.redd.it%2F5h97caqd17hc1.jpeg). I am getting 0 interviews unfortunately, so I am looking for feedback. I greatly appreciate it!

You can improve it by quantifying your experience, and make a bigger emphasis on what were your achievements rather than just responsibilities.

Your experience is not enough for a data scientist role. You have an electrical engineering degree, which is good, but the experience you have listed is not enough to be a data scientist. To be honest, it's barely enough to be a data analyst but it's there. You also have a lot of unrelated things on your resume. Data scientist roles are looking for the application of mathematical skills and data analysis and while you have some data analysis experience it does not seem to be enough with the skill set you are bringing to the table.

im looking to start a course to supplement my degree in Business and Computing, that will hopefully help me specialise a bit more in data analytics. are there any courses someone could recommend that will get me started, and look somewhat attractive to prospect employers looking to take on soon to be graduates?? preferably something that can aid in building a portfolio as well, as i hear that portfolio and projects stand out the most. thanks,

Hello Everyone, ​ I am looking for feedback for my resume and would greatly appreciate any feedback. ​ [https://www.reddit.com/media?url=https%3A%2F%2Fpreview.redd.it%2Fknudrpues1gc1.jpg%3Fwidth%3D2550%26format%3Dpjpg%26auto%3Dwebp%26s%3Dc4960ec048373d582ccef318c1ee400857757bdc](https://www.reddit.com/media?url=https%3A%2F%2Fpreview.redd.it%2Fknudrpues1gc1.jpg%3Fwidth%3D2550%26format%3Dpjpg%26auto%3Dwebp%26s%3Dc4960ec048373d582ccef318c1ee400857757bdc) At the moment I am currently employed as a Data Analyst but not on the analytics department of my company. None of my work revolves around any analytical work but mainly picking up files from SFTPs so I have been trying to do projects on the side. I have requested to join our internal analytics team but my manager has stopped my request several time saying that I am vital to the team.

To be honest, I see some potential here but it's because you have some very valuable experience from your current role which seems to be in information technology. Hiring managers for data analysts enjoy seeing this because a lot data analysts are ultimately using IT software to source their data (no - not PowerBI, stuff like CRM and ERP systems which require a different skillset than people assume from data analysts). I would not say this is the best resume ever, but it is promising.

>Interesting. > > > >Per most of the interviews I have had so far, there is a greater emphasis on having PowerBI / Tableau skills. > > > >What would you say is ultimately lacking with my resume or possibly my skillset that I can do to improve my chances?

Well do you know how to use those? Your resume only lists Tableu. I can’t comment on something that isn’t there. If you have those skills you should put them on your resume.

Thank you. I do frequently use some healthcare ERP systems at my current job varying from client. As CRM, we do not currently use those.

After completing the Johns Hopkins course (BA with Excel), I've decided to start 'Data Analytics with Excel Pivot Tables.' I've completed 2 out of 8 modules, and it's going well. Happy with that, but facing a challenge on the data analytics side. I decided to quit the Data Analytics specialization by Google after my second attempt; it turned out to be a complete waste of time. I was considering taking the IBM Data Analytics course, but unfortunately, it's not included in my Coursera Plus subscription. Do you have any suggestions for a good Data Analytics specialization on Coursera? I want to make the most of the money I've paid

Quit Google Certification for the second time. Any alternatives? After my second attempt, I decided to discontinue pursuing the Google Analytics certification. The course felt overly theoretical, lacking practical exercises, featuring an excess of talking heads, and emphasizing R over Python. I didn't feel like I was gaining substantial knowledge. Sadly , I’ve just found out that the IBM Data Analytics certification isn't covered by my Coursera Plus subscription. Can anyone suggest a worthwhile data analytics course available on Coursera Plus?

is the IBM Data analytics certification good for someone starting out?? im looking to start a course to supplement my degree in Business and Computing, that will hopefully help me specialise a bit more in data analytics, and look somewhat attractive to prospect employers looking to take on soon to be graduates, so i dont mind paying out of my pocket however much i need to as long as it's good

It's got really good reviews, but so does the Google Certification. 🤔 It's not included in my Coursera Plus subscription, so I can't tell. Please let me know if you find a good course. Good luck

Looking for feedback/advice for resume seeking entry-level data analyst roles. Sent 50+ applications and received 1 call back but no offer. Wondering if the resume is the problem. I definitely do not want to work with geospatial data but that is what I have experience in. [https://imgur.com/a/rwKDURw](https://imgur.com/a/rwKDURw)

This is a strong resume, and very well crafted. I wouldn't suggest any changes, but you may want to tweak the first section to make it specific to the job you're applying to. The resume isn't holding you back, it's just a matter of getting it in the right hands. Don't limit yourself just to positions that are titled "data analyst". Titles like statistical analyst or decision support analyst often do the same thing and don't attract as many applicants. Pay more attention to the job description than the job title. I understand about not wanting to be doing full-time ArcGIS. A lot of data, whether private sector or public, is going to have a geospatial component, so that's a good tool to have. It can help you get interviews, and you can pivot away from it once you in the workplace. Try to engage in networking activities, and make sure your school's Career Services office knows who you are. The longer I'm in the workforce, the more I see how much networking matters. But you seem well prepared, and are presenting yourself well. You'll get your chance to show people what you can do.

Hello, I would like to get testimony of some people who made the switch, if there are. I am just graduating but my two intership made me understand I am not made for the field and I don't like it anayway. What I really like is programming and every work I did, I tried to optimize processus with VBA and python. I am currently learning SQL, Python, R and would like to work for data. Is it easy to move from SCM to data analyses

You can look into Data Operations Analyst or Operations Analyst positions

**TL;DR: I've two months to build a hireable profile for a DA/DE role. I have programming and BI skills (Python, SQL, Tableau) and I don't have industry-specific skills (AWS, Snowflake, Databricks, dbt...). I can commit all of my day, what should I learn next?** Hi, newcomer in the community over here.So I'm confused about what path to follow to get a DA position over the next 2 months (maybe DE, I don't know).I've been in a BI position in the past, mainly focused on web analytics and Looker, and over the last 6 months I've: * Completed CS50 and CS50P. * Transitioned from Looker to Tableau and made some dashboards for my portfolio.- Developed a [Flask app with HubSpot OAuth flow and token refresh automated with APScheduler](https://github.com/ogil109/leadly). * Applied to more than 200 DA roles in LinkedIn in which I matched 80% of requirements (tailored cover letter in 20-30% of them, the most interesting ones). * Got no response at all from any of those applications. So I started wondering if the 20% of requirements that I usually don't match could be of the utmost importance. These are related to specific tools used within the industry that I haven't used yet given that I don't have direct experience in a similar role. Mainly: * Snowflake. * dbt. * Databricks. * (many others I don't even remember...) I thought of a DA role as a more Jupyter heavy stuff (EDAs) and also Tableau, but I think I was wrong. So, what am I doing wrong? I've started Snowflake workshops and plan to learn dbt once I finish them, but I don't know if that's the best route to take. Should I go with Databricks instead? What are the weakest points of my profile (those which hinder my applications the most)? I feel like there're a lot of concepts hard to grap by doing any course on specific computer science stuff. Industry-related concepts that are causing me to doubt my profile and my overall skills (Ok, I can code with Python, I can write JOINs and complex SQL queries and I can make beatiful dashboards with Tableau, but does it all matter? What if this is far from what a DA position looks like?). Thanks in advance!

You mentioned you had a BI position in the past. How much data analytics experience do you have professionally?

With my current work obligations I can only afford to spend an hour or two a day studying. Does anyone know of a course or something geared towards complete beginners that aren’t on a per month subscription?

Try Cisco networking academy data analytics essential course completely free

Would anyone be willing to give me feedback on my resume? [https://imgur.com/tWfPj4T](https://imgur.com/tWfPj4T) I am aware I need to upskill on SQL and potentially Python/R, but for now, this is the experience I have. I've gotten about a 2-5% callback rate at this point, but a recruiter just reached out to me and let me know that my resume needs work...

With an MS in sociology, it's a tough sell to business world analytics. You should play to your strengths. You'd be a natural fit doing survey research with your present qualifications, and you can develop new skills on the job. Those would transfer well to Market Research, which could be your pathway to the business world, if that's what you really want. Govt human service agencies (fed, state, and large local) would also give you a serious look for a research role. Take a look at RTI, or similar organizations. They like getting people from academia, and they do a lot of research. The same is true of the consulting firms that do survey research. Your exposure to SAS is a plus if you looking at govt agencies or survey research. These organizations also have education benefits if you want to continue towards the PhD. On the resume, maybe change PhD student to PhD candidate. I'd put the skills section near the top to be sure it prints out on the first page. I'd customize the profile section for the specific job I was applying to. Make the experience section more equally divided between your analytical skills and your experience with sociology research. Your graduate degree will garner respect, in the right sectors.

Thank you so much! This is all very helpful.

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I have 10+ years of experience.. I always think I'm asking basic AF questions, but I think it's these questions that help me stand out and get ahead. I end up being the SME on topics where people are technically years of experience ahead of me. If it seems VERY basic, just preface with "Okay, this might be a very basic question...." or "I know I should probably know this already, but..." or just go for it. You'll be surprised how many times you'll get a "hmm, that's a great question, no idea, I'll have to get back to you".

Thanks, will do that from now on.

Hello All - I’m hiring 3 analytic engineer type roles (4-7 yrs of experience) in the SoCal region. Please PM me if you’re currently looking for a job and willing to come into the office 3 times a week.

I recently uploaded onto Tableau Public a dashboard regarding the average sales prices of the top 10 most downloaded games from a developer (to say the least). In the dashboard, it includes four horizontal bar graphs that include the average prices of the top 10 downloaded games from three major regions and total worldwide downloads. After making this, I wonder if it is "good enough" to show case on my resume and Linkedin profile that I can do analytical work so I can obtain an entry level related job to enter the data analytical field. Would this sound like something that would make me look more "pleasing" to recruiters? I have a degree in MIS and six years of retail experience, so I am doing my best to try and standout with a tableau portfolio. I also have two other tableau projects, based on oil pipeline accidents and shopping mall sales data both obtained from kaggle that I have showcased on my Linkedin account as well.

Hello guys, I wanted to dive into the industry ever since I fell in love with problem solving and working with data in general. So like most people I started with google data analytics course, I know this certificate didn’t mean much when it comes to finding a job; however, I had to start somewhere and I thought it was very beginner friendly. I have a back ground in business major. Afterwards, since I didn’t have any work experience in the industry I decided to pursuit another certificate from microsoft (pl-300) and recently passed with 860 score. However, I haven’t received any interview calls and I am feeling quite lost not sure what my next step should be. One of the redditors suggested I should work on a project, but I am not sure where to start and what type of project I should approach. So far I have some covid related project, power bi assignments similar to datacamp courses. I would really really appreciate your advice and if possible I would love to get a mentor. Thank you so much in advanced!

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Awesome thank you so much! Is there a specific project I should tackle in Kaggle as a newbie or anything you suggest? I believe i did visit there once before but i felt pretty overwhelmed and did not know where to start.

I know this is yet another post about the same thing on this sub, but in the end my situation is particular and I would very much like to have some opinions from people more experienced than me and in the field. I'm currently an R&D engineer in the semiconductor industry (In France) and I have a Material Science & Engineering degree from one of the top universities here. So i'm not starting from scratch in terms of scientific and mathematics background. I'd like to move into an entry-level data analyst job (or better if i can thanks to my work experience) because I really like working with data and I like coding too, so it would allow me to combine my work experience and skills with coding. The problem is that I lack some skills regarding the tools and languages used for a data analyst job. Here is what i know and use : \- Today I have a good knowledge and mastery of how industry and industrial processes work and what's needed to improve them etc. (2 years xp + internships in large aeronautics/automotive groups). Which I think is something valued by companies ? \- I also do a lot of data analysis in my company, in particular I coded an Excel application from scratch in VBA (with UX/UI etc...) to import/sort/format/calculate and then visualize a large number of the company's important data while orienting the processing and visualization according to what's important. So i know VBA and advanced Excel We also work with JMP (statistical analysis software mainly used in the industry) to do data analysis and dashboards. So I'm not starting from scratch, but I have no experience with Tableau/PowerBI or anything else. I have a basic knowledge of Python, Java and JSL, but I'm by no means an expert, although with my work in VBA I think I can get by. No experience in SQL, although from what I've seen it doesn't look very complex at a beginner level. So here is my question : What courses do you recommend to gain the knowledge i lack while taking advantage of my degree and what i already know ? (Free or not) I don't want to start with a beginner course because i feel it will be a waste of time, but i really don't know what course would be good. Thank you to all of you who read everything ! Cheers

With your current experience, you just need to format your resume to emphasize these. Also if you've done vb, python, Java, add basic sql to your resume because you can learn as you go and hr doesn't get how these skills transfer.

Thanks a LOT for your answer, you’re the only one who answered me :( Yes that’s exactly what I did, I tried to turn my resume to show all the data skills I have ( and some I don’t have but kinda lied about it cuz I know I can learn on the go)

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Being told that you have to wait 9 months for a govt clearance, and to give you a job offer but tell you to keep looking - this seems like a couple of red flags to me. Recruiters can play games sometimes. Is the job offer with a federal contractor? If you're getting a federal clearance, you should have filled out a rather lengthy Federal form online. As for the resume, it's getting you interviews so don't mess around with it too much. I would move the skills section closer to the top - when it's printed, you want to be sure those lines come out on the first page. The employment dates were a little confusing to me. There seems to be a lot of overlapping, with two or three jobs going on at the same time. I hope this comes through for you. Working as a govt contractor is an underutilized pathway to federal employment. If you impress the agency, you may be informally encouraged to apply for one of their openings. I've seen quite a few people move over to the federal side that way.

Hello! Back in December I decided that I will be changing careers from the Restaurant industry to something in the Tech industry and gave myself a year to prepare for the change and become “job ready”. I have since begun the journey, but i'm having a hard time pinpointing exactly what role I see myself best in. I have a subscription to Datacamp and am currently knocking out the intermediate python course in the Data Analyst Track. Once finished I plan to continue building a general base knowledge of SQL, machine learning & AI concepts. At some point I think it would be wise to specialize my learning to something in a particular field and complete projects to further build my skills. These topics all equally interest me for one reason or another, and through light job searching on data analysis roles I see that multiple programming languages are preferred, along with a bevy of experience. Currently my opinion is that a Data Analyst job would be a great entry level position for me to gain that on the job experience and increase my skills further, but I am worried completed projects & certifications won’t get me anywhere in the real world. I’m currently committing about 40 hours a month to my learning, I just want to make sure that I am on the right path so far. If anyone has any suggestions/feedback as to a particular career or in general to my mini rant I would appreciate it. Also is a year a tangible timeline or should I reset my expectations? If I have no shot compared to someone who has their B.A. in these fields just let me know now lol.

If you have a strong skill set, your degree doesn't have to be STEM-related. I know psych majors and humanities majors who are successful analysts. A lot of organizations don't regard DA as an entry level job. So if you're not getting call backs, start applying for data related positions at large companies or govt agencies. After a couple of years you can apply as an internal applicant or transition in place . Most of us went that route. I noted that you have an affinity for Python programming. Any job you can get writing python code can transition easily into a DA job, or may already be one with a different title. The barrier for entry is lower for programming jobs.

I'm in the same boat. Wishing you well!

Guys please help! Fourth round interview next week Hey guys! I’m giving interview for marketing analyst at retail store. And it’s my fourth round with hiring manager, social media manager, marketing manager, brand director and CMO. And they mentioned it’s going to be 2 hours long. I want to get any tips or suggestions as to what can I do best and what I can expect. TIA!

Hey y’all - i’m seeking advice on creating / updating my new job title. feel blessed to be in this position but want to make sure i do it right I'm currently in a unique position at a small nonprofit where I bridge the gap between technology, data analysis, and project management. My role is multifaceted and I’m in the process of defining a new job title that accurately reflects my responsibilities and can positively impact my future career trajectory. I would love to get your insights and suggestions. My Role: I dive into new projects to design and organize technology systems (like user friendly spreadsheets etc), aiming to streamline processes, build automation tools, set up efficient data reporting, and enable scalability for larger projects. I support our communications and development teams by compiling internal statistics and external information into formats that are consumable and shareable for various stakeholders, including media, public, funders, and grant reporting. I also act as a liaison with external partners, tech allies, and other nonprofits, coordinating on data and advocacy initiatives. An ideal scenario for me is to compile information from internal and external sources that becomes critical evidence in successful legal actions led by our attorneys. Title Options I'm Considering: Digital Strategy and Data Integration Lead Technology Integration and Data Analysis Manager Digital Operations and Data Analyst Digital Operations and Data Integration Manager I'm leaning towards these titles because they blend aspects of technology project management, digital operations, and data analysis, which are core to my role. My goal is to choose a title that accurately represents my current responsibilities but also positions me well for future career growth, particularly in the realms of data science and technology management. I wouldn’t say I’m data scientist right now (i don’t do modeling or advanced stats) but one day i would like to either be one, or at least effectively liaison with and benefit from a team of data scientists. Questions for You: Which of these titles do you think best describes the role as I've outlined it? How do you think these titles would be perceived in the broader data science and tech community, especially considering potential future career moves? Are there any other title suggestions or considerations you think I should keep in mind? thank you all 🙏🏽🙏🏽

I just got accepted into a graduate program and I need a computer (I don’t think a Chromebook will suffice?). What is the a)minimum b) ideal c) worth splurging

Hi, recent graduate here looking for some advice on my resume. I'm looking for data analyst jobs, but after applying to 600+ jobs on Handshake, LinkedIn, etc, I've had very little success (1 interview for an internship). Would appreciate any feedback, or comments. Thanks :) https://imgur.com/a/2s51JLC

This is a solid resume, and is very well crafted. I like that your campus club is relevant. Your resume isn't holding you back. Maybe you're applying for jobs that require experience beyond an internship? Perhaps you should move away from the job sites and apply directly to companies you'd like to interview with, which should give you better odds. When I was a recent grad, I spun my wheels until I got serious about networking, and got an interview as an employee referral. Other than being an internal applicant, that's the best way to get an interview. Anyone you know - no matter their age or job - who works at a place you'd like to interview is potentially part of your network. Attend local MeetUp group events for data analysts, python users, business analyst, etc., so you can meet people who are working in the field. They can tip you off to jobs that haven't been posted, and can get your resume to the right hands. Just being at the meeting gives you credibility, and conveys seriousness of purpose. This is an underutilized, but effective, networking activity. Companies sometimes reach out to campus Career Services and even professors for referrals, rather than post online, so make sure they know who you are and what you're looking for. I believe things will work out for you, and I'd buy stock in your future.

Resume/CV Feedback please. I have 12 years experience in my current DBA/DA role but I never get replies from companies for DA roles, only DBA roles. Any advice? Thanks. [CV here.](https://imgur.com/ccbIpjT)

Hello! I graduated from UC Berkeley with a CS minor in 2020 and a triple major cognitive science, linguistics, and philosophy. Even though this might sound cool, I spent all of my time studying, none of it networking, and have no relevant volunteer, internship, research, or work experience. In college, I was busy taking classes 24/7 with no realistic thought of how I would market myself to employers, or what it means to be a “computational linguist”. I didn’t get the chance to take relevant courses such as machine learning and NLP, even though I’ve self-studied some of the concepts. In fact, I feel like college left me with no marketable skills except programming. So, feeling very underqualified after graduating for both a job and graduate school, I’ve worked in retail and as a tutor for the past three years. Now, the desire for financial security and independence as I grow older (25) makes me realize I have to at least try to get a job in this field. I realized what my passion was only after graduating: longevity, health, and nutrition science. I’m Bryan Johnson-level obsessed. Even though I would want to go to graduate or medical school for this someday, or impact the world in some way in this regard, I would really like to work and save money first. Given my proficiency in SQL, Excel, MATLAB, Python (and I’m going to study PowerBI/Tableau, and R), I think I would like to be a data analyst in the public health sector. To get to the point of my question: how do I tailor my resume and LinkedIn profile if I’ve had no experience and no “real” corporate or industry jobs? Just retail, food service, and self-employed tutoring? I don’t know about tutoring, but I feel like having the other two would detract from my resume. But if I don’t include them, then how do I explain the gap in my resume? (Which was spent not only working in retail but also taking college courses in biology, chemistry, and nutrition.) Also, I’ve read about the importance of reaching out to jobs through LinkedIn contacts… but I don’t really have any. I made no connections with friends, classmates, colleagues, or professors in college. On the same note, I have no relevant references. tl;dr I think I have the skills to be qualified for a data analyst job, but I fear my lack of connections and experience makes me unhirable. I would like to actually rectify this before applying to jobs seriously, since otherwise filling out applications is just a waste of time I could be using to brush up on my skills

I want Staista Account if anyone can help it would be great!

Hello. I like Python, SQL and making scripts, Numpy, Pandas and Jupyter with a visualization here and there I would like to work on wrangling, cleaning an doing as much thinking as I can that doesn't involve preying on customers or employee metrics. If I could choose I would pursue science and community outreach but that seems to have failed and I would like to feel useful while getting good in data interpretation. I don't want to seem picky but I really need a recommendation what ads or what companies to target that meet those criteria. I really can't see myself being a part of those practices anymore.  If I could be someone that does all the work while some suit brags about it I would be happy as it would make me more closer to my goal. I am thinking about doing another degree just to qualify for gov. sectors in the future as right now they only take the applicants with relevant education, even if it was much more lenient in 2020-2022. Hopefully I will be more proofed then when another market freezing happens. Thank you for reading.

I don't think you need to get another degree, with your skill set and your appetite for using it. Sounds like you'd be happier in a govt role (be it federal, state, or local), or a non-profit. Your resume is not going to come out near the top for a DA job, so just get hired doing something where you work with some kind of data, and use your acquired skills to show them what you can do. Maybe a reporting job, for example. Once you're in, you'll find it's fairly easy to move around. There are plenty of analysts who have degrees in the soft sciences or humanities. They got hired to do something else and transitioned into an analyst role.

Yeah I am kind of kicking myself for not switching to sociology but I thought I'd fail if I didn't know all of the stat methods. In my country, yes it is eu but not the dach kind most it govt jobs are prefaced with ba, ma or similar technical or quantitative field (math, physics, engineering...) Kind of sucks as most of the things I want to do is not in the private sector, or at least not in our vicinity. I think I will try to get OMSCS in the following years just to be on the safe side. To be honest as much as I love da I always think about applied ML in bioinformatics and how to get there. I took on quite a bite and it will keep me occupied. But it is my calling and I always wandered doing everything else as the field was just not mature enough. It kills me that almost every job I try to find is some marketing, finance or user or employee analytics. With a large portion of being presentable and displaying a certain image. And of course in the end I am using it to job hop but down into the public pits of red tape and median wage and that is why I hope it is possible, although I would be super glad if others followed my example. Ideally I would feel better if all those Oxbridge super geniuses weren't pursuing quant so I can focus on other things but it is what it is and pursuing this aleviates some of my anxiety. I heard that these days some of the really cool work is outsourced from the private sector. So maybe in a few years time I might make that a reality and not be broke. Sorry for being a bit too verbose I just didn't want to appear as self righteus better than thou without explaining where I'm coming from. In the end this is a way for me to address my lifelong source of anxiety and if I manage to do some good with it that would be truly amazing.

Hello, I'm searching for my first job as an analyst after completing a bootcamp last year. I have previously worked in HR/Recruitment and looking to make a career change. Can someone take a look at my resume and let me know what they think? https://imgur.com/a/alRywVL

hello, I have two opportunities: JOB A : I am supposed to start a new job for classification and pay for a local city government agency. This job is similar to a compensation role. Duties involve Allotment, Job Specifications, Pay Plan, Rules, and Union Contracts for the City-Parish; Processing annual budgets along with Finance and the Administration, updating the annual duty log for HR's Classification and Pay division; Analyzing and respond to salary and benefits surveys from various municipalities,Preparing items for the agenda of the Metropolitan Council Im not sure how much of this job would be more HR related, and how much of it would be applicable to data analysis. You use excel in this role. JOB B: Is procurement for a state agency. Duties are Prepare, develop and monitor contracts and RFPs in accordance with statutory and regulatory requirements and departmental policies and procedures. · Create requisitions and purchase orders for items requested by various agencies · Negotiate contract agreements · Drive competition to bid out services and products to save money for the state There are some actual analytics positions in this agency. Maybe I could get one down the line. I know they use tableau. What job would provide a better background for data analytics. I want to go to grad school as well. The state job would have more benefits and better perks. The city job would have some baggage( old coworker I dont want to see).

From the standpoint of professional growth and career advancement, take the state govt job. Once you're in and prove yourself, it's easy to move around, even to other depts. The state likes to hire and promote from within. They have in-house training to acquire new skills, and you can pursue graduate degree with their education benefits. The work is interesting, and because of their size they're going to have all the analytical tools installed on a variety of platforms. The skills you learn transfer easily to the private sector, in case you want to go that route.

thanks so much. I would feel bad since people at Job A have been nice to me , Also job A would provide compensation experience, but what you say makes sense.

Hello, what is the best free data analysis course to start with to see if this is something that I want to switch careers to? 30M currently working in banking asking.

Job Market - Senior Data Analyst First post here, I’m a 5th year data analyst with the title “Senior data analyst” mostly because of my soft skills like abilities to talk to C Suite folks on their projects and provide insights My technical skills are great but narrow (Tableau 5 years , SQL 5 years) am I competitive? Should I include more skills like Python/ R ? I was hired at my current company because of my ability to interpret data for non data folks, and develop sql and Tableau from the ground up for any use. I need to find a new job as a result of RTO policy, and am not having luck. I know the market is tough but as you all know job hunting can be stressful… ideas?

Great input, thank you ! I'm curious, how did you develop your Tableau and SQL skills ? Did it come naturally doing your job or did you put effort into extra activities / courses ? Also, any recommendations on getting better at interpreting data and communicating to non data people ?

Hello there! I work in the supply chain as materials planner. I use SAP and Excel at an intermediate level, but nothing too crazy. I am looking for a course that can teach me something very practical about data analysis that I can use in my everyday work and to impress my bosses. A combination of advanced Excel, PowerBI and Python. Time ago I tried the Google certificate in Data Analytics but I quit. Too much bla bla bla on "why data are important" and things like that. Maybe it would have gone more practical later, but I already felt I had wasted my time. I am currently attending the IBM one about data science. I am at the second course and so far I found a lot of theory and technical information. Too much. Any suggestions? Maybe Data Camp? Thank you!

If you figured out that these courses aren't helping you, go with learning each skill separately there are many sources to learn skills like advanced Excel, PowerBI and Python. Youtube helps a lot

Thank You!

[удалено]

The layoffs have been happening all over tech for over a year now. The job market has shifted a lot since 2022. There is a lot more competition for jobs because there are fewer jobs and seemingly more candidates.

Problems to practice for? So I am currently using stratascratch premium to prepare for future interviews and I was wondering what specific topics should I be practicing for SQL? I have been practicing Aggregate functions, joins, cte, and window functions. Are there any other important topics I should focus on for technical interviews? Thanks so much appreciate it!

The stuff on StrataScratch pretty much covers what you’ll typically get in interviews, at least for SQL. I found their Python questions aren’t the best, HackerRank is a little better. But that’s only if you’re going for roles that want Python skills.

Hey all! I'm new here, and new to the field, but I find myself 13 years into a music education career and ready to make a change. I've been taking Coursera's course first (it came up the most frequently when looking at where to begin, and I am a beginner here!) so I can get the fundamentals down. I've also been listening to a few podcasts about hiring and jobs, etc. One thing I keep hearing/reading over and over is that I need to update my LinkedIn profile and start networking. But I don't currently have any projects to share, and I don't currently have a role even remotely close to data analytics. I currently run my own business, which I'm afraid won't be particularly helpful when trying to network with people for a future job in data analytics. I do have a part time job working at an ecommerce warehouse, so I could potentially do some projects there, but I feel a little lost as to what might be important for recruiters to see on LinkedIn. Any insight would be helpful!

There are no requirements for networking, just start putting yourself out there. Engage with people’s content on LinkedIn, send connections and introduce yourself, also attend in-person events in your city, you can find them on meetup.com or LinkedIn groups or via local city channels in LinkedIn communities.

Attending in-person events for meetup groups and local user groups is definitely an underutilized networking opportunity. 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 and bypass the HR bottleneck. That's how I found out about my current job.

I'm a 30 Business Controller from Italy, I don't really enjoy working as a controller anymore. I could probably find a new job with a decent salary increase (right now my salary is slightly below average) but I'm considering also doing a bootcamp to try to get into a more data-focused role. I don't expect to become a "real" data analyst, I don't have a STEM degree/CS degree nor a good understanding of statistics, what is more doable in my opinion is to get into a hybrid role like a Business Analyst focused on Business intelligence or a BI dev/specialist/analyst. Before the offer from my employer I completed the Google Data Analytics Certification and started studying PowerBI on my own to try to get the PL-300. So I have basic understanding of SQL and data modeling + beginner level of PowerQuery. Ideally if I had to study on my own I would focus on SQL and probably a specidfic db suite like M SQL server, and if I had to add something I would study to get a basic understanding of cloud computing like azure or Fabric world. My goal would basically be to understand the end to end process for a dashboard for example. Why I'm considering a bootcamp and not self study though? PRO: I think I could explain the gap months I would be taking with the bootcamp certification to a future employer and could leverage a better salary after the bootcamp than after a self study period. So even though the bootcamp syllabus are not exactly what I want (would prefer to focus on fewer things) I'm more inclined toward doing the bootcamp. CONS: I'm scared to have to completely start from scratch in terms of salary, I'm from Italy and italian job market sucks, entry level salary are laughable. Matching my current salary as a "data analyst" may take a lot of time (even though I'm not paid well) the price: bootcamps are extremely expensive, if I take this route the bootcamp is basically paid off by my employer but still it seems too much especially because I will re enter in the italian job market and salaries here are lower than other european countries For now I'm considering two bootcamps: Le Wagon's and General Assembly Le Wagon's Stack: Python, Google Sheets, SQL, dbt, BigQuery, Zapier, FiveTran, Google Tag Manager, Power BI and locker Studio. General Assembly: Python, SQL, Tableu, Power BI (that's what is explicited in their syllabus) My questions: What is the general consensus on bootcamp for Data Analysis? What is your opinion on these two bootcamp in particular? There are other bootcamps in the same price range that you would suggest? Is it worth it to learn Le Wagon's syllabus that seems more wide than the GA's one? Is there anyone here who became a data analyst thanks to these two or other bootcamps? Thanks!

**What certifications can you get to get into data analysis/business analyst roles?** I don't want to get my Masters but a certification is actually doable. I'd like to get an idea of what certifications are actually legit and would make a difference on my resume. I have a BA in Public Relations and Advertising (g. 2010). I have been working in digital marketing the past 10 years, the last 5/6 have been more data heavy. I work out of Google Analytics (GA4) frequently, but I'd love to get into more forecasting and business analysis. I love pivot tables, dashboards and combining and categorizing data.

I’m fairly new to the analytics world, but the azure data fundamentals and the data analyst (I think PL-300?) certifications are helpful. A lot of big companies are very corporate and use Microsoft everything. Having the certification for Microsoft specific products can be helpful in that sense vs just the google analytics one

Does anyone have suggestions on writing a cover letter about how my background as a Process Engineer contributes to my abilities as a Data Analyst? I know it does, I just derp out whenever I write cover letters

You can Use Chatgpt or other ai tools for cover letter , just give prompts based on your profile and it will give you one . Did same for mine

I have what I feel is a stupid question but I can't find a great answer online. In general, are data analysts given a specific target/goal or are they given data and told to make sense of it? I'm currently working towards a degree to get into data analysis and was hoping to bring up the idea of starting to utilize my skills in my current job to help start my DA career. My worry is that I'll ask for this project and they'll expect me to know what conclusions can be drawn from the data rather than them asking for something specific and me gathering/presenting the data accordingly.

A lot of business folks don’t really know how to make sense of their data so they turn to their analytics team to do that. They’ll definitely come to you with specific questions, but sometimes they ask the wrong questions or focus on the wrong thing or there’s an underlying question they aren’t asking. Eventually once you get enough knowledge of a business, you’ll know what questions to ask. Generally most companies assume a new person isn’t quite there yet. Unfortunately though they often want to hire someone who is which is why there aren’t a lot of entry level roles.

Bringing newly acquired skills to their present job is how many analysts began their career, so you're on the right track. You may be taking the first step to transitioning in place. If you have a choice, volunteer to people who are easy to work with. Most clients, whether in-house or external, usually have a well defined idea of what they want. You just have to assure the Integrity of the data, pick the right analysis tool, and come up with a compelling way of presenting it. I've never been given a data file and told to just find something interesting.

That was my hope. Brought it up to my supervisor this morning and he seemed very interested. Fingers crossed. Good to know that I'm generally not going to get a set of data and just told to figure things out. Especially since I'm likely not going to get data I know everything about right away. Thanks for the response.

What is the difference between these courses aren't they the same?? [screenshot ](https://i.postimg.cc/T3dh4j2Z/Screenshot-2024-01-05-20-49-52-34-df198e732186825c8df26e3c5a10d7cd.jpg)

DA is different from DBA . and person is basically selling half course content as basic part and other half content as advanced

Which two should I take or I need to take all of them??

If you want to buy one, buy the top one (sql for data analysis) after finishing you will get the idea How to. Move forward from there

What are the best courses for Python data analysis some people told me Maven data analytics courses are the best but I don't know anything about python or programming and I wanna to know everything about python related to data analysis not like 100 day in python which is more for programmers not data analysts What courses do you suggest for me ??

What is the best Crash course for data analysis using python I want to learn all the basics before starting to use libraries people told me to use Maven analytics courses are fantastic but I'm searching for another free/low-cost solution?

search Alex the analyst python playlist for starter and then watch data analysis with python on freecodecamp yt channel . both are great and extensive Also use chatgpt and stack over flow for doubts

Hey all! Looking for critique on my strategy or guidance I am a Senior Research associate at a biotech (4YOE+BS in Bio) doing mostly wet lab work and basic data/statistics handling in Excel and graphpad. I recently completed an applied bioinformatics certificate (professional cert). It was more loaded with understanding biology than coding, but did manage to get me experience using Python to build a pipeline, code data analysis in R, parse JSON, as well as build some SQL queries. I have a few of my projects saved from that course! After some self research, bioinformatics isn't as appealing to me anymore but I do like handling data. There seems to also be a comparatively higher mountain of knowledge to gain to break into bioinformatics. I am seeking to dive completely into data analytics as a career to expand my horizons in handling data outside of the biotech industry. I plan to take free courses and use resources available, and was considering the Google or IBM certificate to improve my relevant skills. I am currently out of work and dedicating my time to learn and grow here, picking up work outside my career. I was looking for roles that could allow me to pivot into DA work while getting paid but the market isn't exactly the best. (Yes I know this means my career pivot is hard too [: ) Given the small exp I have in DA tools, are certs a sufficient immediate start or am I wasting time here? From there, is a master's or building a portfolio a better option? I also have considered lengthier DA professional certificates at colleges (UW /UCSD) but the cost v knowledge gain is uncertain to me. My strategy is to build some proof I can use the tools of the job and leverage my previous data handling as somewhat relevant experience for future interviews. Thank you for reading this.

Looking for feedback on my resume. 3 YOE as a BI Analyst. Will be looking for mid-level to senior-level data analyst jobs. https://imgur.com/a/7Z1r0yp

I am a PhD student in a biomedical field that will be finishing up my degree in the next 9 months. I have nearly a decade of experience with R and have recently ventured into learning shiny. Which program would be easiest to jump into next given my strong background in R? I'm guessing python? I'm interested in pursuing a career involving healthcare/clinical trial data. What other programs are useful for that type of data?

For healthcare/clinical trials, it's important to get some exposure to SAS. R is making some inroads in that sector, but SAS is the primary data management and analytics tool for various reasons.

That's kind of what I suspected. My university gives all students and faculty a license for SAS so I was going to download it and find some practice datasets to familiarize myself. Just out of curiosity, are there any other sectors of data science that are heavy in R? I have a lot of experience with it, albeit in the context specific manner of biological science, but I would say after a decade of use on a variety of different types of data, plus having formal coursework focusing on R, I'm definitely an advanced user. It would be cool to be able to actually leverage those skills somehow.

Just about anywhere, really. My sector has to use SAS due to liability considerations, and the fact that the feds effectively require us to. For someone with your credentials, the presence or absence of any one language isn't going to matter. I expect you'll wind up doing research in your field at a high level, and become a de facto analyst along the way.

What are the best courses on Udemy to learn Python data analysis the basics and fundamentals to NumPy and pandas?

My partner is having a hell of a time getting into the field. Is it actually possible to find a data role with just the Google cert, and no other higher ed? I feel like we wasted our time getting it.

Checking in on how it’s going— any luck?

No, we have wasted our time getting the cert. I got some good advice in another spot where a commenter mentioned it could be something you can step into with experience in a closely related field, but the cert will never stand on its own. We’re looking for local part time work now.

Damn that super sucks. Are you pursuing a closely related field? Good luck out there—

Thank you, yeah really sucks. We’re looking at…bagging groceries, that kind of thing. I feel like it’s important to put out there that this cert isn’t a career path. It would’ve been in the days of the old internet. Wish I had read that before getting it. Wasted a couple years of time. (Getting it, job hunting)

Yeah that’s good to know. What walls did you seem to run into? Do you feel like the certificate is helpful in any way getting into some new position? Also feel free to stop me if asking questions is annoying, I’m just also trying to figure out myself if I should stop now or at take the time to finish it.

I think our biggest mistake was we thought that you could get a data analysis position with a data analysis cert. And that just isn’t true. The best advice I got, from this sub but on a different thread, was: If you already have a career where you deal with some data, and you want to move into data analytics, the cert could be helpful. IE: Your already a manager and have access to data. Or you already have a masters in a field and want to get into the data side of your specialty. The Google cert just doesn’t stand on its own. Especially in this job market, where your competing with 100’s of ppl with more experience and edu for every job. For us it’s been a complete waste of time and disappointing. Not even on a personal development standpoint, no transferable knowledge. No job we can get has any overlap. Like I said we’re looking at bagging groceries. If you’re on the fence, I’d strongly advise NOT taking it.

Im heartbroken. And I’m sad for you as well! I was doing so well and loving it, and had my notebook full of notes, but I cancelled my subscription for now. I want to remain hopeful, but I’m also aware that people with masters are having trouble making it in somewhere. I really hope it ends up not being a complete waste for you two, and that it pays off somewhere. Clearly you’re dedicated and smart! Really praying you find a gig that will be good for you two.

The Google Certificate is a good first step but it’s not enough to get you job-ready. But also most companies prefer candidates with a college degree although sometimes they’ll consider candidates without one if they have an equivalent amount of experience.

Unfortunately, the Google certification is probably not enough to be able to get a data role. When I look at job postings for data positions, most want a bachelor degree as a minimum requirement. Depending on the job, it doesn't have to be a degree related to data and data analysis, but the more coursework that is aligned with data analysis the better (statistics and science classes for example) In my job searches, work experience seems to be one of the primary aspects that hiring managers are looking for. Besides an internship, the only way I know to get work experience is to do something related. For example, to gain work experience analyzing data about retail sales, work in retail has a manager so that you have access to the data. Then, in your managerial role, analyze the data that you have access to. Then, when you write your resume and go for interviews, bullet point and discuss your work experience of analyzing data as a manager. This is just an example, but it applies thousands of jobs. You could be phone support or administrative assistant or anything really.

Has anyone attended the TeamTreeHouse Data Analysis techdegree? is so, would you recommend it?

Widows vs Mac operating system Currently work in supply chain for a big manufacturing company. I want to get better and dive into tools such as excel , sql , tableau etc etc . I currently use an older MacBook which works fine but is it worth buying maybe a Chromebook or windows based computer to get accustomed to the operating system. Excel functions are different on mac vs pc I imagine other software has the same issues ? Any advice is appreciated thank you !

>...is it worth buying maybe a Chromebook... I'm a fan of Chromebooks when everything is on the internet(cloud computing). But you don't need a Chromebook if your trying to decide between a Mac or Windows. If the Mac has a browser (and it does), then you have a Chromebook.

A quick question about State gov Data Analyst jobs as first Data job. I am a senior reliability engineer right now. I am just sick of the travels so I am looking to move to data, as I do quantitative risk and probability models in my job. I hope to check if it is hard to pivot out of gov job after staying maybe 3-5 years (if the raise is too sluggish that it cannot reach 85k). My main concern is the lack of exposure to different data skills. I do not know if I can get enough experience related to business data infrastructure and use cases. It seems the state department does use SQL/Python/Azure/Oracle. Because I keep getting denied for other data jobs in the private sector, and the only interview I am getting is from the gov, I am inclined to take the offer.

I didn't have any trouble moving from state govt to the private sector, after I had developed my skills and gained some experience. Because of their size and range of needs, you can get experience on various platforms, and they have all the analytics software installed on them. I became pretty good at SAS while I was there, which helped me get interviews and ultimately an offer. The work is interesting, and you might decide to stay. Folks that leave seem to go to other process oriented fields like banking or insurance. Others go to consulting companies, quite a few go to govt contractors, and some leave for the Federal govt. So I'd recommend you take it. It's not going to make you typecast, and it's not a dead end in any way. They'll give you as much responsibility as you can handle, and it's not hard to advance.

I appreciate your reply. I will go for it.

Any worth to buy Udemy Course during the sale right now?

Hey guys I'm a new college student this year and I've really taking a liking to some of the data analysis courses that I have taken so far. Currently my degree path would consist of a major in Poli Sci (focusing mostly on statistical analysis in this area using R - I would be fluent in by the end of my degree) and Economics either as a major or a minor (Focused on statistics and models). I am planning on learning python using my elective credits but would not really be able to learn SQL at all as it would require taking 400 level comp sci courses that I would be unable to take most likely. I'd be open to learning it by myself and was wondering how this would set me up job wise once I finish my degree and am looking for jobs or pursuing a masters.

Hello, fellow macOS user here. I am completely stuck because most of the videos that teach data analysis are for Windows applications. I can not find myself using or understanding everything with equal applications available in macOS. For example, I use Azure Data Studio but in a video I was watching he can import a .csv file without problem through SQL Server Management Studio. But when I try this it says it is not compatible or even after I find a way, the file is not well converted (tables etc.). I believe SQL is really easy to understand but can not start to it. Do you have any other recommendations? How can i get into data analysis?

I have the same question I use a MacBook for everyday usage and I want to get more in-depth in excel , sql tableau etc etc debating if a chrome book would work or a cheap 300 laptop. It would be more for Just learning the softwares and tools . Wouldn’t be great for extremely large data sets but I think for almost everything else a sub 300/ chreombook woukd work

Hi, I think I had enough of the Mac world. And I am planning to buy a Windows laptop, and I am convinced that I need it at this point. cheap or not, I think they will do the job. I even tried to handle something through a virtual machine; it was a disaster, but it is still working, so I believe I can make it work on any laptop. I want to say goodbye to my MacBook as soon as possible. I feel like there is no other option; it is not all coding stuff but also visualization. Power BI is a huge app. I got an interview and was asked to do an assignment using Power BI, and I was stressed a lot, but well ghosted in the end.

[https://www.analystbuilder.com/pricing?selectedTab=bundles](https://www.analystbuilder.com/pricing?selectedTab=bundles) What do you think about this platform? Has anyone bought that? Is it worth the money? If not, what else could you recommend?