IBM Scala 101

Description :

The Type safe Scala 101 for Data Science Curricula is designed to give experienced Data Developers and Data Science the know­how to confidently start programming in Scala for data science tasks. The course ensures they will have a solid understanding of the fundamentals of the language, the tooling and the development process as well as a good appreciation of the more advanced features. If students already have Scala programming experience, then this course could be a useful refresher, yet no previous knowledge of Scala is assumed.

Skills :

Syllabus -

Lesson 1 – Introduction

• Introduction to Scala
• Creating a Scala Doc
• Creating a Scala Project
• The Scala REPL
• Scala Documentation

Lesson 2 – Basic Object Oriented Programming

• Classes
• Immutable and Mutable Fields
• Methods
• Default and Named Arguments
• Objects

Lesson 3 – Case Objects and Classes

• Companion Objects
• Case Classes and Case Objects
• Apply and Unapply
• Synthetic Methods
• Immutability and Thread Safety

Lesson 4 – Collections

• Collections overview
• Sequences and Sets
• Options
   
• Tuples and Maps
• Higher Order Functions

Lesson 5 – Idiomatic Scala

• For expressions
• Pattern Matching
• Handling Options
• Handling Failures
• Handling Futures

Exam Details :

1. Time allowed: 1 hour  
2. Attempts per question:
   • One attempt – For True/False questions
   • Two attempts – For any question other than True/False
3. Clicking the “Final Check” button when it appears means your submission is FINAL.  You will NOT be able to resubmit your answer for that question ever again

IMPORTANT: Do not let the time run out and expect the system to grade you automatically. You must explicitly submit your answers; otherwise they would be marked as incomplete.