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"

IS Datacamp a good resource for learning Data Science?

If not, are there other better resources you would recommend? Thanks!

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.

Currently backend developer (python + django). want to switch career to data engineer (or a mix of both).
I was thinking to start with datacamp data engineer courses. Do you recommend it?

I usually learn faster with video courses at the beginning of the learning journey.

Feel free to suggest other resources

is it worth to use this source? looks 75$ should i take? do you recommend it or useless?

Hello everyone I was watching intro to SQL from datacamp. The chapter 1 was free and I quite like it. I want to learn about Data science. If I invest my time sincerely,would it help me in my path to learn data science? Please give your kindly suggestions

Datacamp has 11 million registered users. Are there more popular platforms for education in data science, statistics and ml?

Hello guys I was able to complete the practical exam today on my 4th attemp (last one before restarting the process). I'm so happy, I feel obliged to retribute, since there were people that helped me through the comments, let me know if you have any questions.

I understand that you probably have to do a lot of the projects that are available and some projects on your own to get "really good"... But I feel datacamp can be a great base of knowledge to get really good at coding. What do you think?

Hi everyone,

Im a beginner learning Python on my own, and I'm struggling with finding a structured and effective course. I often encounter problems that include concepts I haven't learned yet, which forces me to look at solutions and makes it difficult to apply what I've previously learned.

I want a comprehensive A toZ course that will help me improve where I'm lacking and keep me motivated without overwhelming me. Could you please recommend the best Python course for 2025 that is beginner friendly and well structured?

Thanks in advance for your help!

This review is updated based on DataCamp 2021 (for those wondering if the website has changed).

My story with DataCamp started in the 2020 lockdown. We have received from our university a confirmation of joining a Datathon and at the same time, a free 6 months subscription.

My goal was to become a Data Scientist or Analyst, however, I was not sure how to do it.

An arabic proverb says, "if it's free, benefit from it". So I did exactly that. I started my "Data Scientist Track with Python", doubting whether it might be a highly valuable certificate to obtain.

The amount of hours required to finish the full track did not motivate me at the beginning, however, I kept pushing. Day after day, hour after hour.

I stayed on track with a minimal goal of one chapter per day on my bad days and one course or more per day on my good days. It was not easy, I cannot hide that. Some days, it would take me 2 hours to finish one chapter (procrastination) and some other days, I used to rage quit because of not being able to find the solution. However, as James Clear says in his book "The Atomic Habit", 1% of progress per day is better than 0. Because, compounding growth.

Fast forward a year from those days, I am a proud Data Analyst. I did two internships at Big4 companies (due to the skillset I acquired from DataCamp). So was it worth it? Hell yeah it was!

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.

Beginner tech in every aspect hoping to break into health tech. I want to add some SQL experience to my resume. What's the best way to start, do you recommend courses to take or any affordable certifications to begin with? There are so many out there and would love some opinion on what has worked best for you! Also, I know this will not get me a job, I'm hoping to gain some foundation and use that knowledge to create portfolios etc.

I don't know what subreddit is best for this post. Sorry if it's not this one.

So I'm a data analyst, not a data scientist. I just finished grad school (not data science) and I'm between jobs and about to move to a new city, so I've been taking the last few weeks to go through Datacamp's material fairly intensely (~4 hours a day) to upgrade my skills before I get my hopes and dreams crushed by the job market.

...

The first thing I noticed about Datacamp was that they did a lot of stuff for me. I'd open up an exercise and most of the code had been written already, with a couple of spaces with '____' where I should fill in the right answer. I thought this was really frustrating, because there was never any point in the process where they explained to me why we needed to perform whatever operation it was. I'm like 50 hours in, and I'm not sure I could do any of this without Datacamp's prompting. I think this is the worst part of the Datacamp curriculum. I feel that I'm paying Datacamp to teach me Python syntax and when to use it (not just how to use it), and I feel like I'm not learning either of those things.

Second, although Datacamp courses offer short video segments that putatively "teach" the course, the exercises were essentially big text boxes. Oftentimes the video and text would be somewhat out of sync, and sometimes it felt like entire sections had been omitted between text and video. This made watching the videos almost completely optional, and considering most of them are shorter than 5 min, there was never enough time to substantively introduce the material anyway.

Third, the exercises rarely feel practical. There are some nice real-world datasets used, but because of what I describe in my first paragraph, it's hard to actually interface with them. You're not really working with them yourself. Beyond that, it doesn't feel like Datacamp spends a lot of time trying to motivate the problem. Why do we need to take this approach, etc. There are often domain-specific considerations that influence how the problem may best be solved, and that stuff is completely omitted. This ends up meaning that these supposedly practical exercises end up anything but.

I had a really long paragraph here about how I dislike their two-part statistics course. TL;DR: I thought the treatment of linear regression was really shallow and incomplete (there's no mention of residuals at all, for example), and I thought leaving out multiple and logistic regression meant it didn't provide enough for students to actually learn how to work with data. I've never worked as a data scientist, but I understand that those two are important. They're already super useful as an analyst.

That's not to say that Datacamp is terrible. I really liked some of the data viz stuff they've got (Seaborn and Bokeh are awesome), and I think their first couple of intro to Python courses are helpful. I've heard great things about their R courses, as well. And Datacamp has got a great platform for what they're doing.

I'm certainly going to finish my month of Datacamp, but I don't think I'll be resubscribing. I know it's kind of a cheap shot, but I feel like I might subscribe to one of their competitor products in the hope that they can teach me more of the syntax and thought process behind this stuff. I'm disappointed to be paying somebody to teach me, only to have to Google what they're supposed to be teaching.

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. :)

Just wondering if Datacamp is worth it.

Hey everyone! I'm about to graduate with a degree in statistics and want to specialize in machine learning/AI. I'm considering subscribing to Datacamp Premium so I can specialize for future job openings here in Brazil, improving my CV/resume.

Is this a good idea? As I mentioned, I already have a foundation in statistics thanks to my undergraduate degree; I'm even working on my final project related to the topic!

As the title suggests, there are a lot of good reviews on Datacamp, however, i've taken courses on edx before and they are amazing. There are a few from MIT and IBM etc.

for a beginner, what would you recommend and why?