Wednesday, December 13, 2017

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

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