This short 3-part course consists of 2 tutorials and a final project to learn hypothesis testing and network analysis.
Prerequisites: Python and Linear Algebra, Statistics and Probability (Review).
Related course: Learn Data Science with Python
In this course, we first discuss Hypothesis Testing, probably the most popular application of Data Science. Given multiple options (say different drugs for a disease, or different user interfaces for a website), it allows us to identify which one is better and by how much.
The next tutorial (+quiz), covers techniques for network analysis. This will include understanding and implementing the famous PageRank algorithm, which powers Google Search.
