If you know how to program you have the skills to turn data into knowledge using tools of probability & statistics This concise introduction shows you how to perform statistical analysis computationally rather than mathematically with programs written in Python By working with a single case study throughout this thoroughly revised book you'll learn the entire process of exploratory data analysis
- from collecting data & generating statistics to identifying patterns & testing hypotheses You'll explore distributions rules of probability visualization & many other tools & concepts New chapters on regression time series analysis survival analysis & analytic methods will enrich your discoveries Develop an understanding of probability & statistics by writing & testing code Run experiments to test statistical behavior such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python rather than rely on data that's cleaned & formatted for statistics tools Use statistical inference to answer questions about real-world data