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"

As the post says - the Datacamp certifications are a total joke, they are very simple problems with very simple solutions. But Datacamp tries to trick us by not giving proper instructions in the questions OR being very finicky with the correct solutions that are provided by us.

I have successfully passed their SQL Associate certification and it was a mess too. I recently tried their DE Associate exam, I completed all the tasks successfully except the last task as the question's language is not correctly worded to confuse the student. And now I have to wait 14 days to re-take the entire exam again because of 1 task (last task) - a simple JOIN with a GROUP BY COUNT that their solution checker didn't accept. Their solution checker and question wordings are ambiguous and confusing on purpose.

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?

Since the end of January, I have been using DC with the intention of pursuing a Data Science(w/ Python) career. Sadly, I just don't understand it all too well. The coding bit I'm alright with but it's the application towards analysis and such that is tripping me up. I tried that customer segmentation competition, mostly to practice machine learning skills, but I couldn't come up with an algorithm that I was happy with. I decided to glance at some entries this morning and I just feel I didn't understand the data or the assignment at all. I really don't think this is the career for me.

It just feels like a waste to spend the money on the subscription just to not even try for certification. But the more I learn about it, the more unprepared I feel to complete it. I just feel like a failure, man. Maybe I could land a data entry job or something. All the listings require an eye for detail and coding has definitely helped me develop one lol.

Hey everyone! 👋

I’m planning to start a few DataCamp courses to upskill myself for a data analyst role in 2025 — mainly Python, SQL, and Power BI.

I noticed that DataCamp offers certifications (like the Data Analyst Certification), and I’m a bit confused about how they work.

Do these certifications come automatically after completing the courses, or are they separate exam-based certifications that we have to register for? Also, if they’re exam-based, do we need to pay anything extra besides the Premium subscription to take them?

I would also like to know whether the Premium subscription is overall worth it, as I can get it for GBP 135 (annually) right now due to the ongoing sale.

I’d really appreciate it if anyone who has already done a DataCamp certification could share how the process works and whether it’s worth doing compared to just finishing the career tracks.

Thanks in advance! 🙏

"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 have subscriptions on datacamp and I have been learning SQL so far. I am halfway through. But I would like to know ideas who tried more than one source and their comparisons. DataCamp or Google Data analytic certificate or others?

Thanks in advance.

Hi, I’m considering buying a yearly subscription to DataCamp because I want to learn and earn certificates to showcase on LinkedIn to help me find a job. However, I’m a bit confused about the learning path from beginner to intermediate (and maybe advanced) and how to earn a certificate. For example, if I want to learn SQL, do I need to complete 15 random courses and then take the SQL Associate Certification? Or do certificates cover a specific amount of lessons that guide me from beginner to intermediate, making me ready for the test? Is there another way to focus on a specific topic?

I would appreciate any advice, as I’m feeling a bit lost. My main goal is to learn SQL from scratch and deepen my Python knowledge.

I’ve been working through the DataCamp track for the Data Engineer Associate certification, and the courses and exercises felt very structured and approachable. I breezed through most of the material and felt like I was building confidence along the way.

The actual certification exam felt like a completely different world.

The exam covered areas that weren’t emphasised much (or at all) in the courses leading up to it. I went from feeling well-prepared to feeling like I’d missed a huge chunk of what they expect you to know. It seemed like the track only prepared me for a small portion of the real assessment.

Has anyone else had this experience? How did you bridge the knowledge gap between finishing the content and actually being ready for the certification?

Also: the practical exam says it’s 4 hours. Is that a hard time requirement, or is that just the maximum and most people finish earlier? Curious to hear how others managed it. Thanks!

UPDATE

I just completed the practical exam in about 60-90 minutes. I would highly suggest reading up on both `COALESCE` and `WITH`-queries. They ask you to clean data, but all the tables are read-only, so you need a way to combine and clean tables without altering the actual data. The two keywords mentioned will help with this. You will also need some conditionals in your queries, so also have a look at `CASE`.

I registered for the Data Analyst Professional certification and I've just finished the first exam on SQL and Statistics. The problem is I found a BUNCH of questions on SQL that I had seen nowhere in either courses or skill assessments. How is one supposed to prepare for this??

I've done the Intermediate SQL, Data Manipulation with SQL and Joining data in SQL as well as the Data Management in SQL (Postgresql) assessment twice (got a 97th percentile score)... but still, nowhere did I see most of the functions or techniques they asked in the exam like:

pg_typeof(), regexp_replace (), stddev(), percentile_cont() WITHIN GROUP (), coalesce(),
stuff like:
UPDATE
table
SET 
condition
...

I feel like they asked more things that were NOT covered in the courses/assessments than those that were.

I worry since now I'll move on to the DA201 exam and I don't want to feel blindsided again. How can I prepare?

Btw, and perhaps I'll do a different post for this question, is it cheating if you open resources like notes or search engine while on the exam?? I would assume it is.. but I doesn't say so anywhere and my screen wasn't being recorded during the first exam.

Hello everyone! Never been on here before but I've been exploring the idea of expanding my skill set and familiarizing myself with SQL and Python (I've been considering a career ing GIS, Urban Planning, Crime Analysis for a while). I see that beginners seem to like getting their feet wet and going over the basics with Data Camp but run into issues when seeking out more advanced learning - I'm just aiming to get a little familiar with SQL and Python at this point in time. I was wondering though, some reviews I've watched mention that Data Camp's certifications are basically pointless and not industry-recognized so I was wanting to know if anyone here ended up taking courses/tracks with Data Camp before moving on to seek certification elsewhere and how that went for them. Was there too large a gap between the certification exam content and what you learned? Was it pretty easy? Trying to make a decision before this sale ends because I missed it last year when I was really into learning SQL (was on SQLBolt and attempting a project for free on Coursera).

Hey, guys. I am a full stack developer looking to upskill myself in AI and ML. I have heard of and read about DataCamp before. Currently, its premium subscription is on sale, so I am considering buying it to learn and earn certificates.

Those of you who have used it before, can you share your thoughts on the quality of its courses or suggestions for any better alternatives?

Thanks in advance!

Hey all, I've passed both of my exams for the Data Analyst certification and working through the Practical Exam. I feel confident in my validation and cleanup of the data, as well as my exploratory analysis and visualization.

However, I do not feel that it is very clear what is expected in the exam for the 'business focus' and 'business metrics' aspect. My question is, am I expected to go to the level of doing some sort of statistical analysis with hypothesis testing and p-values, or is it possible to be enough with storytelling and visualization alone?

I feel like through my various visualizations, I've identified strong enough trends based on metrics like median revenue grouped by specific categories, and I feel like the graphs speak for themselves enough that it would work in most real world Powerpoint presentation style sales pitches.

However, statistical testing felt like such a makeup of the questionnaire style exams, I'm not sure if it's insinuated I need to incorporate that into my practical exam or not. I'm not sure if I'm overthinking this or not. Any testimonials from those who have passed certifications if diving into statistical testing is necessary or not for the practical?

Thanks.

Edit:
I have since passed the Data Analyst certification. Regarding this whole question about whether or not statistical analysis is absolutely necessary, I cannot answer, but I can say that I just did one simple Python ANOVA test to get a p-value and I put one sentence about it in my written report, so I included usage of it but at a very minimal level.

Funnily enough, I failed my first submission. I had passed all the harder rubric metrics and failed the simplest one of not having at least two visualizations of simple single-variable tests. So word of advice, make sure you have some very simple visualizations in your report, i.e. a histogram of one variable like revenue, or a boxplot of one variable only. Simple box plots/bar charts grouped by a category is going too far. Good luck everyone on their own certifications.

Hey everybody!

I have just completed the Data Engineer Certification in my second attempt. After thinking about it, I should have passed in the first attempt already. I was able to do both certificates (Associate DE and DE) in around 20 days. I am pretty proud of myself, haha!

In any case, I wanted to offer help for people that might attempt or are trying to pass the DE certificate. As usual, I will not provide the code itself but I can provide a) guidance and b) a bit of code review where required and helpful.

Thanks and greetings!

Hello, I just started learning Data Analysis (Machine Learning's on its way), because my university class is of a team there. I see now that it's actually a cool platform to learn everything I need. But do companies care about the certifications there? Like as far as I know, DataCamp certifications are much more seriously prepared for you than Idk some LinkedIn certifications, but still, is there anyone who got a job offer with any of the professional certification that our platform presents?

I've completed the Data Scientist for Python tracks and would like to do the certificate. Is the idea that you're able to pass the exam 'closed book', ie without having to use any other notes / Google etc? I understand there isn't anything that checks but I would like to do it honestly and in the right spirit. It's just I struggle with remembering the exact syntax for stuff etc.

Hello fellow Data engineers,

I hope you're well.

I want to know if datacamp it's still worth it in 2024. I know the basics of SQL, Snowflake, Mysql and Postgres, but I have many difficults with python, pandas and Pyspark. Do you commend Datacamp or do you know another website where you can really improve your skills with projects?

Thank you and have a nice week. :)

Hey everyone, just sharing that all 600 of our courses, plus tracks and certifications, are free this week.

https://www.datacamp.com/campaign/nov-free-access-week-2025

Have fun, happy learning!