To better cater their materials to the specific learning behaviors of their students, Datacamp has created three main styles of course. All lessons are handled directly through the app platform. One of the main advantages offered by platforms like these are the way in which they allow users to learn at their own pace. Together, this allows students to develop a comprehensive and holistic approach to the fundamentals of data science. There are lessons on data management tools like SQL as well as >_shell, Git, and Python. A strong grasp of data science requires an understanding of other languages that run either parallel or complementary to R, and these are all covered by the lesson plans. Lessons in the R language constitute the bulk of Datacamp's platform, with lessons appropriate for everyone from amateurs to experienced data science, but it doesn't cover everything. Many data scientists recognize R as being the lingua franca of their field, so it's not surprise that DataCamp uses this language as the cornerstone of their curriculum. By focusing on such a narrow field, they can provide highly accurate, meaningful, and nuanced courses to their students. DataCamp recognizes that data science is a field that's only going to become more important for the following generations, and that's why they've created a training platform focused solely on the ins and outs of this emerging industry. Everyone with access to an internet connection now has access to seemingly endless amounts of data, but that also means the world needs experienced people with the training and experience to analyze, compile, and process that information. Overall Opinion: Perhaps the most fundamentally important the internet's growth has brought is the vast prevalence of new information.

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