Course: DSE 400 - Fast Track to Data Science

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.
DSE 400 course offer following weekly topics in time order (names are defined by me, based on leading topic for each week), links behind are going to weekly DSE 400 road-map presentations shared on Google Docs:

1. Data Science Introduction
2. Plotting with R
3. R for Machine Learning
4. Big Data industry impact
5. Visualization tools
6. Hadoop and Hive introduction
7. Haddop and MapReduce
8. Data Quality and Big Data Ethics

First run of DSE 400 is gone. It was going from 19.01.2014 till 15.03.2014 for 8 weeks. As the Program is developing during the time also platform on which is presented, the SONO platform, has been changed and the Program has been moved to LinkedIn where you can find corresponding group: DSE 400 - Fast Track to Data Science.

Finally, I did mind map from whole DSE 400 course which contains quick overview about specify week study. You can find it on mind42.com here.