DataCamp

Hi, DataCamp's team! Thanks a lot for your MOOC resource. I think, your service has two main strong features. The first is high quality of course with comfortable manner of passing. The second is good subscriber's plan. You changed it for better. Thanks!... Read More But your main defect is your design. It's horrible! It looks like "old school" first releases of WinAmp Media Player! Why did you change your wonderful academic style, blue-white pallet and brain in logo? With your previous design I understood who was your destinations. Engineers similar me. But now I see your design says: "My destinations are teenagers from 1990-th!". Where is the brain, knowledge, HiTech? I don't see. I see copper wire at in your logo... Look at Coursera or Udacity. They use blue and white colors. Because, as you know, these colors stimulate the intelligence. Your colors stimulate another sides of the soul... I hope, you will return to your previous image. Have a success year!

DataCamp has the breadth and depth to cover both the essential and also the most interesting topics in learning R. I like to try out various instructional resources as I develop my knowledge, skills and experience with this data analysis language, and... Read More I can honestly say that DataCamp has the most comprehensive catalogue and highest quality courses in R that I have found on the net. I am a self-motivated data science learner and DataCamp is the site that I always return to when I want to make progress.

Pros This data camp is a powerful tool that you can learn on your own pace, and the knowledge can be applied in different fields The feedback and support from the team are immediate Knowledge and practice are presented through very simplified and well... Read More organized videos and exercises No previous knowledge or degree is required to use the data camp for learning The reward was more than what I expected, so I became more confident after the first month Cons The first two or three weeks could be challenging if you are a complete beginner You need to be patient at the beginning till you get used to the environment It could be difficult for a beginner to know what courses to choose without a mentor or a teacher

I looked for places to learn so I found it out of curiosity and I really liked what I was able to learn, in addition to a good teaching technique, with which my learning was interesting, as well as a great diversity of courses that have very good topics... Read More

I started with no knowledge of python, and am now creating ML models and pipelines. The program has held my hand every step along the way. Outstanding content and teaching method by providing clear explanations on video, then relevant exercises and projects.... Read More

DataCamp has a variety of courses that help people interested in learning new skills and tools to manage and work with data. I’ve learned many skills through DataCamp like creating Shiny dashboards and understading more about Data Science. Also, like... Read More the fact that you can finish the courses anytime according to your needs.

There are many courses and tracks for you to choose. Inside the courses there are videos and practice problems for you to get your hand dirty. I learn a lot from this platform and I encourage you guys, who deciding whether to choose this platform or not,... Read More to hit the subscription right away because it's worth it.

Pros: Great interactive environment that is less frustrating than any other platform I've tried. Great instructors allowing for faster learning. Regularly updated content. Cons: As with any online course, there are less people to ask when you need help.... Read More Then again, that's kinda what the internet is for.

Datacamp is a great knowledge source, it provides lots courses on trending technologies related to data science. Methodologies and courses are great, but what really drives the difference for me is the platform and how the course is built around it. Nevertheless... Read More I believe they still have room to improve in: * explanations outside coding: Sometimes persons taking the course are not aware of math behind the code, or sometimes they just don't remember, when stuff like this happens no material is linked to the course so student cannot extend understanding, things are just superficially explained (if math behind is not understood, coding becomes boring, there is no extent of what can be done with that knowledge, you are just following steps). * Flexible coding: if the student finds out there is another way of coding "x" task and executes, the platform sometimes will tell you it is not right (even though you are using the same tools given in the course and you are getting the correct output).

I am pursuing a master's degree in Data Science coming from a non-programming but engineering background. DataCamp helped me overcome the fear of coding. By offering bite-size courses I'm able to progress in coding for data science one step at a time.... Read More I've been studying at DataCamp with the next course in the master's program in mind a couple of months ahead of the forthcoming class. Thus, DataCamp helped my to better prepare for the Database systems class by finishing the DataCamp PostgreSQL suite, the Data Visualization - with the Fundamentals in Tableau track. Now , I am learning R to support my Probability and Statistics course and prepare for the Machine Learning course at the university. I am an annual subscriber, and I see a great value comparing for the fee I pay and knowledge I get. I would recommend DataCamp to anyone who wants to up their game in the data coding skills.