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.

DataCamp is a low stress, self-paced collection of short courses. That allows the student to enter the study of programming at a level they feel comfortable with and from there branch out in any direction that they find compelling. I come back to the site daily in order to practice new and old skills, in order to keep on elevating my proficiency.

Data Camp is a online, per month for yearly service, that provides experiential education for R, Python, Stats, GitHub, IDEs, and shell commands for data science. On the down side, there is no professor to talk to or build a relationship with for recommendations and mentorship (yet.) On the positive side:

1) Data camp is cheap
2) Datacamp is used by EdX for some of their certification programs
3) Datacamp has a community of new users, power users, educators, and instructors who are willing to answer all sorts of questions. They even have a podcast that breaks down concepts to a very easy to comprehend level.
4) Real world data sets and projects to implement knowledge right away

In the year I have used Datacamp, I've taking classes in R, Python, and statistics. In a very sho...

I was given a one-month free trial to datacamp. Within that one month, I finished basic courses in data sciences - python and R. As I updated my LinkedIn with those skills, I was offered a data science consultant role in a major bank. I never imagined that my transition to data sciences would be that quick. I immediately took an annual membership with datacamp, and continuously update my skills in areas of machine learning, deep learning. Thanks, Datacamp!

I began with a one month subscription to determine whether my expectations would be met. And yes, DataCamp has been able able to exceedingly meet my expectations. I really love the courses and won't hesitate to recommend it to anyone interested in deepening their data science knowledge and skill-sets.

I began with a one month subscription to determine whether my expectations would be met. And yes, DataCamp has been able able to exceedingly meet my expectations. I really love the courses and won't hesitate to recommend it to anyone interested in deepening their data science knowledge and skill-sets.

DataCamp mixes high-quality content created by some of the brightest stars of Data Science in R (not only academics and professionals from companies such as StackOverflow, but also the creators of some of the most widely used R packages) with a Gamified user experience (with the use of streaks, learning paths, daily tasks and the potential to achieve much, much more in this field) that helped me to keep myself motivated.

DataCamp provides students with an incremental, sequential and coherent learning pathway across the Data Science landscape.
Students are tired of Data Science programmes whose modules are taught as if the students were studying for degrees in Statistics, Maths and Computer Science.
DataCamps' modules however, contextualize the material in terms of what it means for Data Science. This is best exemplified by the DataCamp projects with draw
on and test the students knowledge across modules in terms of applied data sets and business questions. The ability to revisit and reinforce diverse material on their
own time is key for students to have a personalized learning experience. Also the DataCamp community forum is a great place for knowledge sharing.