"Has anyone landed a job, or at least been getting interviews, from using DataCamp? If so, which topics did you study and which certifications did you earn, for data analysis?"

I'm 30y/o. I have an MA in International Economics, but (for many reasons) haven't had much luck applying it.

I'm about 1/2 way through the Data-Analyst with Python course, but I'm anxious about whether fully committing to the course (+SQL, PowerBI etc) will actually put me in good standing with potential employers in the field. I guess I'm very wary of any organisation selling aspirations, and it feel like quite the hill to try to climb.

Would greatly value anyone's experiences. However, constructive feedback is preferred.

basically the title. i did the certificate and have a tech background but im still not getting any interview callbacks. its been a month since i’ve started applying.

would love to hear some success stories to be a little motivated. is it too early to give up??

Hi, I recently learned what Data Analytics was. I started studying it for about a month or 2 now, and I became certified on DataCamp's website for an Associate Data Analyst. I am highly proficient in both Tableau and SQL. I have been applying to Junior Data Analyst jobs, but everyone keeps turning me down. Does anyone have advice? I can't afford to go back to school, I already went about 10 years ago and got my BA in English with Magna Cum Laude status. I work full time right now as a Juvenile Correctional Officer so I know how important confidentiality is, and I am very comfortable and familiar with presentations and speaking to large audiences. I'm going to keep studying and learn Excel, and R, but I wanted to know if there were any positions I could maybe qualify for right now. Thank you for reading I really appreciate it.

It took me 2 years to get this certification, yes I was slow as I had a lot of other stuff too.
A few months ago I put a post here, which also became one of the top posts of this group.

After around a week or two, I realised:
The current market was way beyond (above) my skills. I basically knew nothing. Well technically its not wrong....From their track I studied basically most of everything that falls within the definition and job description of Data Science.... Its basically the market that has converted most of Data Science into Machine & Deep Learning

Advice:
For Data Analysists:
A lot of people have been hitting me up since that post and asking me is Data Analyst worth... Well tbh I can't tell that. You mightv'e to ask someone who's already done that track. From what I know, yes today if I wanna step in that, I can very easily do it after my track of DS. But I dont have knowledge of market in DA.

For Data Scientists:
DONT DO THE DATA SCIENTIST CAREER TRACK.
Yes you could pick a few important things from it like Intro, EDA, SQL etc. But just try to wind it up ASAP. The only good thing in Datacamp is, it provides good practical experience, practice.
If u really want to do it from Datacamp, go for the "MACHINE LEARNING SCIENTIST" career track. It might train you well enough.

Summary:
I wasted 2 years for a certification that just gave me basic foundation of something I wanted to make my complete career in.

• Look for some other platform.

• If DataCamp, then "Machine Learning Scientist in Python" >>> "Data Scientist with Python"

I am in a app support role now and I would like to move careers to a data analyst or engineer role. I am taking the SQL and Power BI career track. Once I finish both tracks will I be able to get a job?

I just completed the Data Engineer and Associate Data Engineer tracks and am currently working on the Professional Data Engineer track. I'm curious—has anyone landed a job through these certifications?

Wondering if we have anyone here who started from scratch on datacamp and then actually switched to data roles. Someone with a first hand experience of completing the career track they might have started

Hi, so a quick background about me - I have 2 degrees in statistics from good universities, over 6 years in data analytics in the industry. I am currently a digital nomad and I currently do some freelance work on Fiverr as a pro and top rated data scientist and analyst.

I am using Datacamp mainly to sharpen my skills and to remember some stuff I forgot along the way. There are also some stuff in llms and deep learning that I haven't used much so it is nice to do it in datacamp. Also the data engineering and production courses seem to be interesting.

To gain more theoretical understanding that datacamp lacks, I usually use the O'Reilly platform and books.

The code alongs section has also some great stuff there. Also the blogs.

I am on Google's DA course (I applied long ago for financial aid, which I got for free), and I am planning to finish, i heard from a yt that it became pretty hard to get a job with a "certificate" and I should get a certification instead as its much better. I am studying ME (Mechanical Engineer scholarship) and Google's DA course on the side i feel like data analysis is much better for me than ME. is there a chance to land a job in this field

Hello Reddit! I’m looking at a career change and thought I’d look into data analysis as a potential future job.

I’m 35 and have been working in film post production for 9 years…a bit tired of the field and in need of something different. As I can be a bit compulsive and ocd I thought data would be something interesting to explore and do as it can cross many different fields.

So I was looking at datacamp and was wondering if it is a good start and if getting a certificate here would help as a way in the industry?

Thanks!

Anyone have success landing interviews and jobs during/after doing any track? If so, please share how you did it, and what courses/tracks you did!

I’m starting the Data Science with Python career track and I want to know if it’s worth it to find a job in Data Science, if there’s a different track/courses you guys suggest, or if I’m just wasting my time with datacamp.

Edit: I’m a Full Stack Software Engineer working in fintech. Being this early in my career, I still have no domain expertise and have no clue what’s the meaning of what I do in the grand scheme of things. I’m still merely doing what I’m told.

I have a BSc in Computer Science and I am currently doing a MSCS part-time (expected graduation date in 2027).

I am looking to make a transition into Data Science and so I am taking electives that align with that goal (ie. Several Statistics courses, Machine Learning, Natural Language Processing, and Data Mining. Hoping to squeeze in Deep Learning).

I recently came to know about DataCamp. Is it a good platform to learn? And does the certification meet industry standards and is accepted by companies?

Did anyone get a job because of what they've learned at datacamp? If so, was the acquired knowledge sufficient or was it necessary to learn more other technologies that weren't mentioned in datacamp?

I have 15+ years experience in an IT Desktop role. I am looking to switch careers. I would like to get into Power Bi and the power apps space. I am fine with an Entry-level job. I am taking the Power bi course. Are there still power be Entry-level jobs?

I'm new to data camp. Just starting out of curiosity, what are my job options if I do a few courses in this field?

Just wondering if Datacamp is worth it.

If anyone has any questions you may ask... Id be happy to help :)

So, I am working through the DataCamp Data Analyst career track, and I was just wanting to see how well you think that did in getting you ready for the industry and for your job?

I'm afraid of my expectations for knowledge/mastery being way too low, or too high. Thanks!

I noticed an inflow of people disappointed that the field is not what they thought it would be employment wise.

Correct me if I'm wrong but my overall feeling is that you are not reaping the rewards your masters/bootcamp/online course promised. You are not turning down people left and right asking for your services. And thus, you feel like the field is not what you wanted.

A bit of my background I started doing "data science" back in 2005, I have a Masters and a PhD on applied Machine Learning. I've done consulting in AI for NTT Japan (largest IT company in the country), done 2 postdocs in top 20 Universities, both of them on applied AI to Science. Consulting to the largest companies in LatAm, and currently on charge of 10+ ML/DataScience experts as ML Director as one of the Largest Banks in LatAm by assets.

• 1st Advice. If you are in it for the money, better invest wisely.

If you have no experience. Don't spend 400 usd in 400 little Udemy classes, or a Datacamp subscription, etc. Spend big and go to a big name school to do a Masters, there are plenty of funding options. Believe me, even if you learn the same thing, the fact that your certification/course says MIT instead of DataCamp is my only pointer if you don't have field experience at all. I say it again, this is IF YOU DON'T HAVE ANY EXPERIENCE.

• 2nd Advice. Get all the experience you can, even if it's pro bono!

There is nothing like working with real datasets, I couldn't care less if you did all the tutorials on tensorflow or Sklearn using MNIST or Fashion MNIST, guess what, so did the other 40 applicants. But if you were privy to any datasets that few people can access, then I can see some value if your business understanding and capability of deploying ML techniques with data that no one else has seen before.

Sound hard? no, is extremely easy, the fact that there is a shortage of talent is no illusion. Go to a local University and look for researchers that might need to use ML in something, and offer to do that analysis, or only cleaning the data for free. That gives you both experience and opens doors for future employment.

The most interesting datasets I've seen have been in projects that I did for free or very little money.

• 3rd Advice. Learn the business and build yourself a niche.

Again, there is a need for DS and ML practitioners, that is very real, I have 3 open positions right now. But guess what? I won't hire anyone with no Finance or related experience. I need people capable of understanding business terms, and are capable of reading a Cash Flow and an Income Statement. Few applicants really know how to do it or have any interest in how to do it.

I have friend in the oil industry and is the same story all over again, people just want access to a dataset with no interest in learning about oil or extracting processes.

Note: Notice that all this advice is to give you all that extras and plus that you will need to get hired, doing a bootcamp or a course is not good enough anymore, you need to differentiate yourself.