About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 15 hours to complete

Suggested: 6 hours/week...


Subtitles: English

Skills you will gain

Scala ProgrammingBig DataApache SparkSQL
Learners taking this Course are
  • Data Engineers
  • Data Scientists
  • Machine Learning Engineers
  • Software Engineers
  • Data Analysts

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 15 hours to complete

Suggested: 6 hours/week...


Subtitles: English

Syllabus - What you will learn from this course

12 hours to complete

Getting Started + Spark Basics

7 videos (Total 105 min), 5 readings, 3 quizzes
7 videos
Data-Parallel to Distributed Data-Parallel10m
RDDs, Spark's Distributed Collection9m
RDDs: Transformation and Actions16m
Evaluation in Spark: Unlike Scala Collections!20m
Cluster Topology Matters!8m
5 readings
Tools setup10m
Eclipse tutorial10m
Intellij IDEA Tutorial10m
Sbt tutorial10m
Submitting solutions10m
7 hours to complete

Reduction Operations & Distributed Key-Value Pairs

4 videos (Total 59 min), 2 quizzes
4 videos
Pair RDDs6m
Transformations and Actions on Pair RDDs20m
1 hour to complete

Partitioning and Shuffling

4 videos (Total 57 min)
4 videos
Optimizing with Partitioners11m
Wide vs Narrow Dependencies16m
8 hours to complete

Structured data: SQL, Dataframes, and Datasets

5 videos (Total 133 min), 2 quizzes
5 videos
Spark SQL17m
DataFrames (1)26m
DataFrames (2)30m
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Top reviews from Big Data Analysis with Scala and Spark

By CCJun 8th 2017

The sessions where clearly explained and focused. Some of the exercises contained slightly confusing hints and information, but I'm sure those mistakes will be ironed out in future iterations. Thanks!

By CRApr 10th 2017

Great introduction to spark. Fun assignments. Since it was the first ever session, there were quite a few kinks with the assignments. But the discussion forums rescued me any time I was stuck.



Prof. Heather Miller

Assistant Professor
Carnegie Mellon University

About École Polytechnique Fédérale de Lausanne

About the Functional Programming in Scala 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....
Functional Programming in Scala

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.