In this tutorial, I will combine Coursera course catalogue together with social media data to assess the popularity of courses. To to this, I will use the Coursera API to retrieve the course catalogue, I will use the sharecount.com API to get social media metrics for each course, and I will use python's pandas library to query and order the courses by popularity. The technique introduced in this tutorial can be leveraged to other use cases that require a popularity ranking system for measuring the relevance of a list of links.
In this post, I will explain about Schelling's segregation model, implement the same in Python programming language, and explain the power of agent based simulations for understanding complex phenomenon.
Sabermetrics is the apllication of statistical analysis to baseball data in order to measure in-game activity. In this post, I will use Lahman’s Baseball Database and Python programming language to explain some of the techniques used in Sabermetrics.