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Scala Essential Training for Data Science

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Overview

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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.

Syllabus

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

Taught by

Dan Sullivan

Reviews

4.7 rating at LinkedIn Learning based on 147 ratings

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