
Introduction to Python Data Analytics
- Foreword: Why Data Science?
- Chapter 1: Introduction
- Chapter 2: Python: Variables
- Chapter 3: Python: Flow Control
- Chapter 4: Python: I-P-O
- Chapter 5: Python: Collections
- Chapter 6: Python: Iterations
- Chapter 7: Python: Packages
- Chapter 8: Python: DataFrames
- Chapter 9: Python: Reading/Writing
- Chapter 10: Python: Advanced DataFrames
- Chapter 11: Python: Debugging
- Chapter 12: Python: Functions
- Chapter 13: Univariate: Statistics
- Chapter 14: Univariate: Visualizations
- Chapter 15: Bivariate: Num/Num: Stats
- Chapter 16: Bivariate: Num/Num: Viz
- Chapter 17: Bivariate: Cat/Num: Stats
- Chapter 18: Bivariate: Cat/Num: Viz
- Chapter 19: Bivariate: Cat/Cat: Stats and Viz
- Chapter 20: Multivariate: Numeric
- Chapter 21: Multivariate: Categorical
- Chapter 22: Prep: Data Wrangling
- Chapter 23: Prep: Skewness
- Chapter 24: Prep: Outliers
- Chapter 25: Prep: Missing Data
- Supplement: Datasets
- Supplement: Automation: Univariate Analyses
- Supplement: Automation: Bivariate Analyses (in progress)