1. Python Data Science Toolbox
   • Part I
   • Part II
     • Iterators
     • List Comprehensions and Generators
2. Importing Data in Python
   • Part I
     • Importing Flat Files
     • Importing Other File Types
     • Working With Relational Databases
   • Part II
     • Importing Data from the Internet
     • Importing Data from APIs and JSON
3. Cleaning Data in Python
   • Exploring Data
   • Tidying Data for Analysis
   • Combining Data for Analysis
   • Cleaning Data for Analysis
4. pandas DataFrame
   • pandas Foundations
     • Common Commands
     • Building DataFrames
     • Importing and Exporting
     • Exploratory Data Analysis (EDA)

Note: If notebooks are not loading correctly, go to https://nbviewer.jupyter.org/github/Rion5/Python_Data_Science/tree/master/