After I described the whole DSE Program it self here. I would like to continue with specific parts which I came through. Currently I study 2nd course DSE 501 - Machine Learning with R which I will describe in some next blog posts, but let's start first with initial course which was DSE 400 - Fast Track to Data Science.
As I wrote already in my previous blog post Data Science Enablement Program is really different than other known courses which you know from Coursera or other MOOC websites. Instead looking at video courses and doing quizzes and course project your need to be personally involved and discuss weekly topics and also do (at least) weekly assignments which corresponds to current week topic. Each week you got a lot of study materials which could help you to achieve assignment and get reasonable knowledge about the topic and also lot of following practice suggestions with reasonable questions or tasks which move you forward through the topic.
