DataCamp

Pros:
- Instructions are easy to follow and learn in R and Python (sometimes incorporated with funny jokes :))
- Lots of coding practices on the R Console
- Environment is engaging. The side-by-side console and instruction designs help to gear beginner or intermediate coders to try out many functions.

Cons:
- Sometimes need to review for the materials, but DataCamp does that very easily as it gives regular practices even after you finished a course

Pros:
Value for money,
I can learn at any time of the day and pause and continue my learning at any moment.,
Learning paths are mapped and easy to follow
Each module is broken up into about 3-5 x 1 hour sessions,
You can make some good progress dedicating just 1-2 hours a day,
To complement the module work there are no extra cost optional:
Daily practice questions
Projects
...

I'm working through DataCamp's Data Science with R program. The program includes understandable instruction and many hands-on examples.

I am enjoying my journey of doing Python Data Science courses on the DataCamp platform!

Having recently finished a Graduate Scheme aimed at equipping bussing data gurus with the skills to enter the world of Data and data Visualisation I soon found that there are a whole host of other tools out there to add to our toolkit.
I stumbled across Data Camp when looking at ways to learn Python from a complete beginner level to a competent level by reading, watching, and doing which is exactly what DataCamp provides.

I also later came to find that Data Camp was a recommended resource in my company (BCG) which proved its worth even more!

The courses were clearly built with love, and the instructors' enthusiasm for the subject shows in every exercise. Fantastic user experience!

Not a fan of 'input box learning' like Codecademy etc. and in truth, you won't become a data scientist with Data Camp alone. However, data science is something that many people need a little hand holding, so the format of instruction lends itself well to the content.

J'ai découvert Datacamp il y a quelques mois. Je suis très contente d'acquérir des compétences en data science avec eux.
J'ai beaucoup apprécié les cas pratiques pour chaque cours, alternés avec les vidéos d'explications.
Le principe des XP qui permet de suivre ma progression est très intéressante car elle permet de rester motivé.
La partie "Practice" en plus des cours permet de s’entraîner quotidiennement : très bien fait !.
Je recommande vivement Datacamp.

I started with Python as a beginner on DataCamp. I'm still learning and will recommend it to everyone.

pros:
Short video and good number exercise and also quizzes.
Each time I move on to next chapter I feel confident and it was interesting to continue instead of feeling bored.
Thanks to DataCamp, Glad I picked the right choice among other online courses.

I like that the videos are really short and there are a lot of exercises. The projects are really cool because they help you to confirm your skills. Also, the blog post and the cheat sheets are very nice and useful!

I know there are several to do the same task to the same code in a different way. But for a beginner, it's a dream come true, Simply easy & fun way to learn & code!! :-)

I've tried many methods to learn Python and have often stopped halfway or just stopped altogether. No ebook, mobile app, or tutorial has taught me as much as I have on DataCamp. I've enjoyed my experience so much I've begun to broaden my sights on not just learning Python but hopefully R as well.

All R and Python courses at one place, where else to go

I canceled the subscription, but datacamp miraculously re-activist my subscription and charged me non-refundable $29.

This shouldn’t be a way you do business !!!!! SCAM !!!!!!!!!

I heard about DataCamp from another free skills website and decided to browse the DataCamp website. I didn't have a background in data science and coding. DataCamp helped me learn about Python in a way that was easy, self-paced, and entertaining. I'm beginning to feel confident in my skills.

I loved the content developed for the course and the way the resources are presented. The learning platform is an amazing experience and the exercises are great practice and do not need to be performed on the same equipement. The ability to follow lessons and practice form mobile was key in acquiring some concepts.

I started last year as data scientist from the scratch. My knowledge had been build on DataCamp courses. In a very short time I got a lot of skills for my job. There are a lot of possibilities to learn and I love the structured system of DataCamp. Because of this I subscribed a year, and I think I will continue for another year.

Prior to trying DataCamp, I had tried various other courses including Lynda.com, Google, and YouTube. All of them assume a strong background in some other coding language or no experience with computers at all. DataCamp had the perfect pacing which allowed a beginner like me to pick up the basics of Python very quickly. I ended up subscribing to an annual membership afterwards and have enjoyed everything since then as well.

My only criticism of DataCamp, and any web-based environment, is that a lot of the practice of staging data and writing the preparatory code is lost when everything is so focused on the individual exercises.

Nice, free and simple tracing courses, reliable website and east to access 24 hours a day. So happy to have Datacamp

I love the user experience of the course, which offers and interactive web-based coding platform and relieves me (as a beginner) the burden of installing all the related packages and software (though eventually necessary, it would be intimidating and create a barrier for some newbies ). The user interface is also very bright and clear. This altogether gave me an awesome feeling exploring the new programming language.
Similar to other Datacamp courses, it all used real-life (or at least imitations) data sets makes studying and conclusion extremely applicable and relevant to jobs and daily issues. This gives way for me, as a student, to think of similar or creative solutions to my own analytical problems in jobs.