Python for Statistical Analysis

Greetings

Welcome to the data repository for the Python for Statistical Analysis – course by Samuel Hinton. The supplementary materials are below. Enjoy!

Materials

Introduction

• Machine Learning vs Statistical Analysis Cheatsheet
• The Backbone of Statistical Analysis Cheatsheet

Exploring Data Analysis

• Loading Data Sets
• Preparing Data Sets
• Outliers
• 1D
• ND

Characterising

• Characterising 1D
• Characterising ND

Probability

• Distributions
• Empirical
• Sampling
• CLT

Hypotesis Testing

• Loaded Die
• Meteorites
• Election
• Distributions
• KS and AD

Conclusion

• Significance Hunting
• Intro to Gaussian Processes
• Practical Cosmic Impacts
• Practical Emission
• Practical Diabetes
• Practical Sales