DataCamp

DataCamp is a really nice tool to learn. It's iterative and the way they plan the course feels (to me) like a very smooth progression. The courses are not in depth in details, but they do present the tools and possibilities very well, and make you go through and use of it in different scenarios.
I've done a few courses related to R and I keep coming back for more as they are always adding new interesting courses.
Recently they added some career tracks for R and Python for Developers, Data Scientist and Data Analyst and Quantitative Analyst.
I recommed this tool to anyone that wants to start using R or Python in the data analysis/science world.

I really recommend Data Camp for most of my collegues, because of its pioneering work in teaching data science online in a feasible way. Maybe the greatest about it is the fact courses are completely flexible so that you can handle with your learning schedule the way you want it. In busy weeks I slow my pace at Data Camp without loosing much. It is also very interesting that you doesen't need to have R or R Studio installed in your computer to do the courses exercises. This allows you to keep studying in every platform you have in hand: may it be your cell phone, notebook or a college PC. In a summary, I'm very satisfected with Data Camp and I will continue to support the project even when I finish all the courses I had in mind at the first moment, because there are always new and more specific courses available. I have to congratulate Data Camp developers for their commitment with us (users). If it was a privilege of few students in the past to learn data science, thanks to Data Camp it is becoming easier today to spread learning about state-of-the-art tools and techniques for scientific research. 

I find DataCamp's lessons quite useful and easy to learn. The courses are challenging and get you thinking about the possibilities that can be done with Python and R. I have taken one R course and 5 Python courses so far. I will definitely be pursuing more as time allows.

I was able to use Python at my work almost immediately and have been able to manipulate data with codes that I learned from DataCamp. I highly recommend DataCamp to beginners like me. The steps of learning Python and R are quite logical and have a nice progression of knowledge and skill building.

I took the course "Writing Functions in R" at DataCamp. It was pretty good and I was very satisfied with the contents. The teachers were both excelent.

But problems came when I tried to cancel my subscription. First I did it from the account settings and apparently was all right. End of story. But a few months later I unpleseantly found out that my subscription had been automatically reactivated!! I wrote an email to the DataCamp support team. They replied to me arguing that I had been to select the option "Forever" within the "Pause subscription" menu.

So, if you do not select “forever” in that hide option within the account settings–whose existence you could not know beforehand–, your account automatically reactivates. It is definitely a tricky ugly ruse to force the customer to pay. Unbelievable and unaccpetable. Very disappointing.

R is fairly difficult to learn, especially if you don't come from a strong statistics/programming background. Through taking all of their classes, you can go from a beginner to competent, but the path won't be easy.

The DataCamp interface is very glitchy - there are quite a few answers that I thought were right, couldn't solve, and after seeing what the actual answer was, still don't see any difference whatsoever. Additionally, if you run into any problems and e-mail the DataCamp team, they probably won't bother responding - I've sent multiple e-mails and followed up each time, never got a reply. They also sometimes ask you to use functions and knowledge they haven't taught you, and their built-in hints are sometimes useless.

In short, this is a very good resource to go from beginner to adequate with R. Just don't expect the road to be easy, and don't expect to have your hand held at all.

Before enrolling in Le Wagon, I had heard glowing reviews about the school's training programs from numerous sources. However, it wasn't until I actually joined that I truly understood why it was so highly regarded. The curriculum is meticulously designed, with a perfect balance between theory and practical application, allowing students to grasp complex concepts in a relatively short span of 9 weeks.

What struck me the most was the intensity of the program. Each day was packed with lectures, coding exercises, and collaborative projects, leaving little time for leisure. Yet, it was this very intensity that pushed me to learn and grow at an accelerated pace. The challenges presented during the course forced me to stretch my limits, testing my problem-solving skills .

Despite the rigorous nature of the program, I found immense satisfaction in overcoming each obstacle and mastering new concepts. The sense of accomplishment after completing a challenging project or solving a difficult coding problem was unparalleled. Moreover, the supportive community of instructors and fellow students made the journey all the more enjoyable.

Looking back, I can confidently say that my time at Le Wagon was both grueling and immensely rewarding. It was a transformative experience that not only equipped me with valuable technical skills but also instilled in me a sense of resilience and determination to tackle any challenge that comes my way in the future.

DataCamp is my favorite platform for learning technical skills. The courses are designed to make the student learn and think about real world issues. Whether it is a beginning, intermediate or advanced course the structure is similar. You learn from short videos; then practice challenging exercises; finally, you put all together with excellent projects. For me, this learning experience is not only rewarding but also exiting. The instructors are extraordinary as well as the content of each course I have taken. Thus far, I have taken more than 60 courses in Python and SQL applicable to finance, research, higher education and more.