Table of Contents
- Scala Overview
- Data Analysis Life Cycle
- Data Ingestion
- Data Exploration and Visualization
- Applying Statistics and Hypothesis Testing
- Intro to Spark for distributed Data Analysis
- Traditional Machine Learning for Data Analysis
- Near Real Time Data Analysis using Streaming
- Working with Data at scale

