# Kotlin for Data Science
## Course Outline
1) Why Kotlin?
  * What is Kotlin?
  * Why Kotlin for Data Science?
  * Comparison of Kotlin vs Scala, Python, Java
2) Setup
  * JDK
  * Gradle
  * Intellij IDEA
3) Kotlin Basics
  * Your first Kotlin application
  * Variables and Types
  * Functions
  * Nullable Types
4) Classes
  * Classes
  * Data classes
  * Objects
5) Ranges and Collections
  * Ranges and for-loops
  * Lists
  * Sets
  * Maps
6) Functional Programming and Sequences
  * Extension functions and properties
  * Higher Order Functions and lambdas
  * Sequences
  * `let()` and `apply()`
7) Reading Data Sources
  * Reading text Files
  * Web requests
  * SQL queries
8) Practical applications
 * Using Kotlin-Statistics
 * Using Kotlin with Apache Spark
 * Ranking mutual friends in a social network
 * Building interactive models with TornadoFX