Datacamp is great for beginners as it has inbuilt IDE for Python and sql coding and gives you a really good base with short exercises and videos interspersed with each other. I suggest that once you have a good blast, give some of the workbench/projects a go and then try real examples from haggle or github. However, the certifications are not the be all end all stamp you need for a CV. Use datacamp to learn rather than demo experience/proficiency Edit: Spelling (been a long week sorry guys) Answer from chrisellis333 on reddit.com
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Medium
medium.com › javarevisited › is-datacamp-really-worth-it-review-d462506b8bb4
Review — Is Datacamp a Good Place to Learn Python in 2025? | by javinpaul | Javarevisited | Medium
April 21, 2025 - With one subscription you also get access to all the data skills you need to become a Data Science professional. It also got many free courses which are good to learn basics of popular Data technologies like SQL, Python, Data Science etc.
People also ask

Does DataCamp offer Python Certification?
Yes. DataCamp's industry recognized Certifiations include two Python Certifications: Data Analyst and Data Scientist. Both Certifications are available to take in Python or R.
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datacamp.com
datacamp.com › courses › intro-to-python-for-data-science
Learn Python for Beginners, Python Basics Course | DataCamp
Why take an online Python course?
Taking an online Python course offers flexibility and convenience, allowing you to learn at your own pace and on your own schedule. DataCamp's courses provide a structured learning path with interactive exercises and real-world examples, making the learning process more effective than self-study.
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datacamp.com
datacamp.com › courses › intro-to-python-for-data-science
Learn Python for Beginners, Python Basics Course | DataCamp
How long does it take to learn Python?
How long it takes to learn Python varies greatly depending on your prior programming experience, the complexity of the concepts you're trying to grasp, and the time you can dedicate to learning. However, with a structured learning plan and consistent effort, you can grasp the basics in a few weeks and become somewhat proficient in a few months. This introductory Python course aims to kick start your learning journey, providing you with the initial foundations.
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datacamp.com
datacamp.com › courses › intro-to-python-for-data-science
Learn Python for Beginners, Python Basics Course | DataCamp
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Meganbloemsma
meganbloemsma.com › blog › datacamp-python-programmer-review
Datacamp 'Python Programmer' review - MeganBloemsma.com
May 12, 2022 - After shell and condo it feels good to see some. A lot of videos which I did not find super effective. Very dry. The exercises are very step by step though, so you’ll be able to go through to it fine. But again: very dry. 💙Software Engineering for Data Scientists in Python · In a previous article I talked about how I believe the future of data science is software engineering – so I was very happy to see this chapter added to the Python program in DataCamp.
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DataCamp
datacamp.com › courses › intro-to-python-for-data-science
Learn Python for Beginners, Python Basics Course | DataCamp
... Add this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance review ... Get your team access to the full DataCamp platform, including all the features. ... Python is a popular choice for beginners ...
Published   1 week ago
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CareerKarma
careerkarma.com › wiki › datacamp-python
Is DataCamp Good for Learning Python? Wiki
Compare career training programs in tech, trades, and skilled careers. Get matched to programs based on your goals, learning style, and budget.
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Upskillwise
upskillwise.com › reviews › datacamp
DataCamp Review - 8 Pros & Cons To Consider in 2026
DataCamp is great for learning the basics of data science, but some advanced topics feel a bit shallow. It’s a fantastic starting point, though! ... I had no prior coding experience, but DataCamp made learning Python and SQL super easy.
Published   2 weeks ago
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Reddit
reddit.com › r/datascience › my review: unimpressed with datacamp (for python)
r/datascience on Reddit: My Review: Unimpressed with Datacamp (for Python)
May 30, 2018 -

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.

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I am a huge fan of datacamp and it really helped me break into the field. I've done ~40 courses over the past 2 years. What I've noticed is that there is some variance in quality of courses, and this is particularly correlated with time. You're complaining about the stats courses now, you should have seen that shit in early 2016. They deprecated so much material. I think the main DC strategy is to start out the course with fill-in-the-blank, and then gradually wean you off until you're writing it all yourself. The thing is, some courses do this a lot better than others. A course that does an excellent job of ramping up the challenge is the PostGres SQL joins course - by the end you're starting with a blank editor and asked to do some legitimately complex SQL queries. But, when teaching probability, stats, or ML, some courses are squeezing 2-3 concepts into every chapter, everything is fresh enough that you need the bumper rails there. I think the biggest thing is that DC has taken very noticeable, deliberate and resource-intensive steps to improve the platform. Projects, for example, addresses a lot of your concerns. Practice mode was a game changer. DC has it's issues, and it can't guarantee every wannabe in the world a 6-figure salary, but in my opinion it is by far the best way to learn data science today. No other platform or method, save for getting a PhD, is as effective IMO. u/variance_explained is the Chief Data Scientist at DC, he may be able to address your concerns as he's been writing about the data science learning process recently.
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Hey slabby, good luck with your new job search! I see where you're coming from in your post and have similar experiences where I'm left thinking: "Why did they write 80% of the code for me?" It's not really pushing me to apply or helping me to solve a problem myself. That's the case for me too some of the time. Having used their platform for ~ 3 years now, I have a developed a different perspective with DataCamp. Most of these courses are very high level intro's to material, and I am guessing that is by design. How many people are going to complete many of these courses if they dive deep into statistical theory, relational algebra, linear algebra? The completion rates will be close to 0% and that won't be good for how they monetize their platform with instructors. Their goal is pragmatic. If you read their blog, they says as much. Give people a taste of what they need to start. If aspiring analysts/data scientists become very interested in what they are exposed to, they'll fill in the gaps with other learning methods (to each their own). I've never treated DataCamp as a one stop shop, but I credit their R courses having helped me become a competent R programmers at my company. I learned a lot of programming skills that I never was exposed to in grad school. It gave me a base to jump from, and I built on it with other mediums like web based tutorials, MOOCs, and textbooks, as needed. I'm currently trying to do the same with their Python suite. Sometimes I delete their pre-loaded template code first in the exercises, and try to do them myself. I've been supplementing the coursework with books "Introduction to Python" and "Think Python", then I am going to apply some of the skills on a personal project idea I've been working towards. I guarantee that > 80% of what I learn from doing this personal project with Python will be from independent learning outside DataCamp. But for me anyways, DataCamp gives me a starting point I can more confidently go into the wild with, so to speak, on something once foreign/intimidating to me. For the level of knowledge you're looking to take away for any particular course topic in a one-stop place, it seems like a MOOC (ex. Coursera), or diving into a textbook may be more what you're looking for.
Find elsewhere
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Quora
quora.com › Is-datacamp-com-a-good-site-for-beginners-to-learn-data-science-P-S-I-am-desperate-about-learning-data-science-but-I-have-no-knowledge-about-Python-or-R
Is datacamp.com a good site for beginners to learn data science (P.S. I am desperate about learning data science but I have no knowledge about Python or R)? - Quora
Now, what do I mean by “specific”? There’s a specific keyword in your question—beginners. Remember this throughout my answer, okay? So… Let’s take a good-bad-ugly approach to this. The good: * It is THE BEST place for beginners.
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MLTut
mltut.com › home › blogs › data science › is datacamp good for learning python in 2026? read review
Is DataCamp Good for Learning Python in 2026? Read Review
December 22, 2025 - In short, a DataCamp Python certificate is a good way to show off your Python skills, especially in data science. It’s a solid addition to your resume, proving your practical knowledge and dedication to learning.
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Reddit
reddit.com › r/learnpython › datacamp not so great?
r/learnpython on Reddit: DataCamp not so great?
July 15, 2022 -

Im in the process of learning Python and what it is exactly…and i was given the link to datacamp to start my journey…and I’ve tried sooo hard but I just can not catch on…and I hate to say it but I feel like the context isn’t that great, everything seems all over the place and it’s just kind of deflating and discouraging…should I check something else out? Has anybody else had this experience???

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I started off with datacamp, had no prior experience to programming. That got me to be more comfortable with python and programming to start py4e. Then I did MIT's python course. In my experience in learning so far, just keep going until you are familiar with basic concepts like variables, while and for loops, ifelse statements, how to define a function etc. Spend some time learning the concepts rather than syntax. Learn through doing, but imo the catch is you have to comfortable and familiar with on a certain level which learning those above concepts would do before working on a problem. The key is not to spend lots of time memorizing them but knowing such concepts exists and implement them when needed for whatever programming problem you are trying to solve. Write psudocode to clarify to yourself how the logic of the program works, then work out how to implement that logic using python. Py4e is a great way to familiarize those concepts and you apply them in the MIT's python course . The MIT python course is tough but doable with the prep from py4e. And for the record, you can just skip datacamp and go straight to py4e. The reason I didn't was because of my irrational fear of programming before I had started. I'm following OSSU'S CS curriculum right now and it is the best resource so far that offers a great curriculum and people on the discord are great at helping whatever questions/difficulties you have.
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I mostly focus on data analytics with pandas. Been learning pretty slowly since 2020. Still feel like a beginner with pure python but once in a while I’ll write something for my work to “Automate the boring stuff” and it blows the minds of my coworkers. I’m glad even my basic skills get noticed and it keeps me wanting to learn more.
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Built In
builtin.com › data-science › datacamp
DataCamp: What I Learned After 44 Courses and 308 Hours | Built In
DataCamp excels at teaching the key fundamentals and giving learners the tools they need to get started. In a nutshell, DataCamp teaches core programming very well. Lessons on general programming context and syntax are followed intuitively in ...
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Data Science Nerd
datasciencenerd.com › is-datacamp-good-for-learning-python
Is DataCamp Good for Learning Python? – Data Science Nerd
May 20, 2022 - Instead, you’ll be rolling up your sleeves and getting your hands dirty with practical exercises from the outset. DataCamp builds your knowledge gradually and logically, and that’s what makes it good for learning Python.
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BitDegree
bitdegree.org › home › best learning platforms › guides › best datacamp python courses: diving into data science
Best DataCamp Python Courses for Data Scientists in 2026
December 3, 2025 - Here's a tip – the perfect language to learn is Python, and DataCamp is where you want to get started. Today, we’re taking a look at what makes Python great for beginners and how the DataCamp Python courses can help you accelerate your journey ...
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Quora
quora.com › Is-Data-Camp-good-for-learning-R-and-Python
Is Data Camp good for learning R and Python? - Quora
Answer (1 of 7): Disclaimer: I’m a data science journalist at DataCamp I’m probably biased in my answer, but as somebody who started programming in R successfully thanks to DataCamp way before I ever started working for it, I do feel that I can give you some insights.
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DataCamp
datacamp.com › category › python
Learn Python Online, Python Training Courses for all Levels | DataCamp
Learn Python online with training courses for all levels. Build skills with interactive data science and machine learning courses curated by experts.
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Lukas Reese
lukasreese.com › home › is datacamp worth it? a datacamp review for 2026
Is DataCamp Worth It? Honest Review for 2026 - Lukas Reese
1 day ago - As a freelance Power BI developer who used DataCamp early in my own career, I can give you an honest answer: yes, DataCamp is worth it — especially if you’re a beginner or career changer looking to learn data skills like Python, SQL, or Power BI.
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Medium
medium.com › swlh › i-completed-the-data-analyst-with-python-career-track-on-datacamp-in-2-months-here-is-my-review-d4f7c7f0e1ba
I Completed the Data Analyst With Python Career Track on DataCamp in 2 Months. Here Is My Review | by Christos Gkoumas | The Startup | Medium
January 25, 2021 - DataCamp provided a positive and rewarding experience on my journey to analyze data. I learned a lot and developed new skills applicable to the real-world, which I will be using in my main job to gain new insights into human cognition.
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Blogger
javarevisited.blogspot.com › 2021 › 09 › top-datacamp-courses-to-learn-python.html
Javarevisited: Top 7 DataCamp Courses to learn Python, SQL and Data Science in 2025 - Best of Lot
From my 20 years of experience in tech, I can say that learning Python and SQL is the best decision of your life; unlike many frameworks and programming languages, Python and SQL have been around for more than 25 years, and there is still a ...
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Wordpress
javarevisited.wordpress.com › 2026 › 03 › 25 › i-tried-50-python-and-data-science-courses-on-datacamp-here-are-my-top-10-recommendations
I Tried 50+ Python and Data Science Courses on Datacamp: Here Are My Top 10 Recommendations | Java Prorgram Examples
March 25, 2026 - There is a lot of demand for Data Scientists and Backend engineers with Python and SQL, and these Datacamp courses will teach you those from scratch. From my 20 years of experience in tech, I can say that learning Python and SQL is the best decision of your life; unlike many frameworks and programming languages, Python and SQL have been around for more than 25 years, and there is still a great demand for them. Learning them is a good investment for life.