Scala Essential Training for Data Science

Use Scala in your data science work. Explore the Scala features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala.

Introduction

• Welcome
• What you should know
• Using the exercise files

1. Introduction to Scala

• The advantages of Scala for data science
• Installing Scala
• Scala data types
• Scala collections
• Scala sets Scala arrays, vectors, and ranges
• Scala maps
• Scala expressions
• Scala functions
• Scala objects

2. Parallel Processing in Scala

• Advantages of parallel collections
• Creating parallel collections
• Mapping functions over parallel collections
• Filtering parallel collections
• When and when not to use parallel collections

3. Using SQL in Scala

• Installing PostgreSQL
• Loading data into PostgreSQL
• Connecting to PostgreSQL
• Querying with SQL strings
• Querying with prepared statements
• Summary of SQL in Scala

4. Scala and Spark RDDs

• Introduction to Spark
• Installing Spark
• Getting Started with Spark RDDs
• Mapping Functions over RDDs
• Statistics over RDDs
• Summary of Scala and Spark RDDs

5. Scala and Spark DataFrames

• Creating DataFrames
• Grouping and filtering on DataFrames
• Joining DataFrames
• Working with JSON files
• Summary of Scala and Spark DataFrames

Conclusion

• Review of Scala for data science