Book Content
chapters • 9h56m total length
1. Scala Overview
2. Data Analysis Life Cycle
3. Data Ingestion
4. Data Exploration and Visualization
5. Applying Statistics and Hypothesis Testing
6. Intro to Spark for distributed Data Analysis
7. Traditional Machine Learning for Data Analysis
8. Near Real Time Data Analysis using Streaming
9. Working with Data at scale
