WHAT YOU WILL LEARN
- Write purely functional programs using recursion, pattern matching, and higher-order functions
- Design immutable data structures
- Write programs that effectively use parallel collections to achieve performance
- Manipulate data with Spark and Scala
SKILLS YOU WILL GAIN
- Scala Programming
- Parallel Computing
- Apache Spark
- Functional Programming
- Recursion
- Array Programming
- Streams
- Functional Design
- Reactive Programming
- Data Structure
- Data Parallelism
- Parallel Algorithm
About this Specialization
Discover how to write elegant code that works the first time it is run.
This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.
Applied Learning Project
Learners will build small to medium size Scala applications by applying knowledge and skills including: functional programming, parallel programming, manipulation of large data sets, higher-order functions, property-based testing, functional reactive programming.
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