Personal evaluation. Data science MOOCs

Course	Offered by	Taken date	Difficulty	Commitment	Type	Description
Introduction to Data Science in Python	Coursera. University of Michigan	January 2017	★★★☆☆	10 hrs per week	Theory and practice
Data Science in Real Life	Coursera. Johns Hopkins University	March 2017	★☆☆☆☆	3 hrs per week	Theory and practice
A Crash Course in Data Science	Coursera. Johns Hopkins University	April 2017	★☆☆☆☆	3 hrs per week	Theory	A really introductory course. A lot of definitions about important concepts in data science. Any student should be able to pass this course
Data-driven astronomy	Coursera. The University of Sydney	April 2017	★★★☆☆	6 hrs per week	Theory and practice	An extremely fun course, really intuitive. Perfect for anyone interested in Astronomical data
Data processing using python	Coursera. Nanjing University	December 2017	★☆☆☆☆	4 hrs per week	Practice	An easy course. However, it is in Chinese and reading the subtitles is extremely tiring
Python data representations	Coursera. Rice University	December 2017	★☆☆☆☆	4-5 hrs per week	Practice	An very interesting course, the lectures are great. Very good professors.
Introduction to Structured Query Language (SQL)	Coursera. University of Michigan	December 2017	★☆☆☆☆	2-3 hrs per week	Practice	One of the best professors. A simple but great introductory course to sql
SQL for Data Science)	Coursera. University of California, Davis	January 2018	★☆☆☆☆	4 hrs per week	Theory & Practice	A really great way to learn SQL. It is an introductory course but it covers more aspects than a similar course from U. Michigan. If you are completely new to SQL i recommend to take first the one from U. Michigan
An Intuitive Introduction to Probability	Coursera. University of Zurich	January 2018	★☆☆☆☆	3-4 hrs per week	Theory and Practice	A very clear introduction to probability. The professors introduce the theory with interesting examples.
Python Data Analysis	Coursera. Rice University	February 2018	★★☆☆☆	4-5 hrs per week	Practice	This is an easy course if you are familiar with nested dictionaries in Python, otherwise it will be difficult at the beginning of the course
Python Data Visualization	Coursera. Rice University	March 2018	★★☆☆☆	4-5 hrs per week	Practice	This is the second part of the course Python Data Analysis; thus, if you are comfortable with dictionaries you should be fine