Python Statistics Essential Training

Introduction

• Welcome
• What you need to know
• Using the exercise files

1. Installation and Setup

• Install Anaconda Python on OS X
• Install Anaconda Python on Windows
• Working with Jupyter Notebook
• Using Python in the cloud

2. Importing and Cleaning Data

• The structure of data
• Create tidy data tables
• Introducing pandas
• Data cleaning
• ✓ Challenge: Personal email analytics
• ✓ Solution: Personal email analytics

3. Visualizing and Describing Data

• The power of visualization
• Describe distributions
• Plot distributions
• Plots of two quantitative variables
• More quantitative variables
• Describe categorical variables
• Plot categorical variables
• Personal email analytics
• ✓ Challenge: More email analytics
• ✓ Solution: More email analytics

4. Introduction to Statistical Inference

• Statistical inference
• Confidence intervals
• Bootstrapping
• Hypothesis testing
• p values and confidence intervals
• ✓ Challenge: Bootstrapping grades
• ✓ Solution: Bootstrapping grades

5. Introduction to Statistical Modeling

• Statistical modeling
• Fitting models to data
• Goodness of fit
• Cross validation
• Logistic regression
• Bayesian inference
• ✓ Challenge: Explaining baby weight at birth
• ✓ Solution: Explaining baby weight at birth

Conclusion

• Next steps