What will you learn in this Functional Programming in Scala Specialization Course
Write purely functional programs using recursion, pattern matching, and higher-order functions.
Design immutable data structures and understand their applications.
Implement parallel algorithms and leverage parallel collections for performance gains.
Manipulate and analyze big data using Apache Spark and Scala.
Apply functional programming principles to real-world data-intensive applications.
Program Overview
1. Functional Programming Principles in Scala
⏳ 56 hours
Learn the fundamentals of functional programming, including recursion, pattern matching, and higher-order functions, using Scala.
2. Functional Program Design in Scala
⏳ 35 hours
Explore advanced functional programming concepts such as lazy evaluation, monads, and type-directed programming to design robust Scala applications.
3. Parallel Programming
⏳ 32 hours
Understand the principles of parallel computing and implement parallel algorithms using Scala’s parallel collections and tools.
4. Big Data Analysis with Scala and Spark
⏳ 27 hours
Learn to process and analyze large datasets using Apache Spark, applying functional programming techniques for distributed computing.
5. Capstone Project: Functional Programming in Scala
⏳ 20 hours
Apply the skills acquired throughout the specialization to build a data-intensive application using real-world datasets.
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Job Outlook
Equips learners for roles such as Scala Developer, Data Engineer, and Big Data Analyst.
Applicable in industries like finance, technology, and data science.
Enhances employability by teaching practical skills in functional programming and big data processing.
Supports career advancement in software development and data engineering roles.
Specification: Functional Programming in Scala Specialization
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