Introduction
  • Course Overview
  • Python and Pandas Installation with the Miniconda Distribution
Course Contents
  • Downloading the Course Material
  • Exploring the Course Contents
  • Opening the Material with Jupyter Notebooks
  • Introduction to Jupyter Notebooks
  • Working through a Course Material
  • Differences with Video Notebooks
  • When to Open a New Notebook
What is pandas?
  • What is pandas?
  • Which version of pandas to use?
  • Pandas examples
The DataFrame and Series
  • Intro to the DataFrame and Series
  • DataFrame Components
  • Selecting a Series
  • Components of a Series
  • Getting Help in a Jupyter Notebook
  • Exercises
Data Types and Missing Values
  • Intro to Data Types and Missing Values
  • Finding the Data Type of Each Column
  • Getting More Metadata
  • Exercises
Setting a Meaningful Index
  • Setting an Index of a DataFrame
  • Accessing the Index, Columns, and Data
  • Accessing the Components of a Series
  • The Default Index
  • Setting an Index on Read
  • Choosing a Good Index
  • Exercises
Five-Step Process for Data Exploration
  • Five-Step Process for Data Exploration
Continue learning with Selecting Subsets of Data
  • Continue learning with Selecting Subsets of Data