Analyzing Data Using Spark 2.0 DataFrames With Python

Table of contents

1. Introduction
   1. Welcome To The Course
   2. About The Author
   3. Course Curriculum Overview
2. Overview Of Spark 2.0
   1. What Is Spark
   2. Why Spark 2.0 DataFrames
3. DataFrame Basics
   1. Jupyter Notebook Overview
   2. Python Review Part One
   3. Python Review Part Two
   4. Creating A DataFrame
   5. Data Input
   6. Data Output
   7. Getting DataFrame Information
   8. Selecting Columns And Rows
   9. Creating and Renaming Columns
   10. Using SQL With DataFrames
   11. Filtering The Data
4. Spark DataFrame Dates And Timestamps
   1. Introduction To Date And Timestamps
   2. Working With Dates
   3. Working With Timestamps
5. Spark DataFrame Aggregate Operations
   1. Introduction To Aggregate And GroupBy Concepts
   2. Spark GroupBy Method
   3. Spark Built In Aggregate Methods
   4. Sorting And Ordering
6. Spark DataFrame Working With Missing Data
   1. Introduction To Missing Data
   2. Dropping Data
   3. Filling Missing Data
7. Spark DataFrame Exercises
   1. Introduction To Exercises
   2. Exercise Solutions
8. Thank You
   1. What Is Next And Where To Go From Here