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Learn Fundamentals of Scala: Beginner to Intermediate
Rating: 4.3 out of 5(8 ratings)
538 students

Learn Fundamentals of Scala: Beginner to Intermediate

Scala Fundamentals
Created byAkash Chauhan
Last updated 3/2023
English
English [Auto],

What you'll learn

  • Have a good foundation of Scala Programming in Data Science with basic projects from Scratch
  • Scala setup in Windows and MAC OS
  • Scala Basics, Scala Characteristics, Functional Programming, Parallel Processing, Mutable State, Scala Vs Java
  • Mutable vs Immutable, Static vs Dynamic Programming, Methods, Class, Objects, Fields, Closure, Traits, Scala Identifiers, Keywords, Comments, Basic Program

Course content

5 sections30 lectures7h 34m total length
  • Introduction7:04

    This introductory session is to give you brief of:

    • Course Content

    • Course Outcomes: At the end of this course, what knowledge you will have?

    • What can be done with Scala, Data Science? Why Scala?

    • Companies using Scala

    • Job Opportunities

  • Basics of Scala with execution flow of a Scala Program22:14

    This lecture covers:

    • Introduction of Scala and its Basics

    • Scala Characteristics

    • Functional Programming

  • Rating Request (Optional)1:34

    The lecture guides you to rate the course (optional) and leave comments, explains how to access the reading option on your dashboard, and encourages completing the course to gain confidence.

  • Scala Vs Java, Parallel Processing, Mutable State24:44

    This lecture covers:

    • Scala Vs. Java

    • Parallel Processing

    • Mutable State


  • Detailed Scala Installation and setup information over Windows Systems13:30

    This video session covers the basics and all baby steps of the installation and setup of Scala in Windows-10.

  • Scala setup over Mac OS with the execution of a sample Scala Program11:00

    This lecture covers:

    Download: https://www.scala-lang.org/download/
    1-
    Scala setup in Mac
    2- First Scala Program Execution, post system setup

  • Static vs Dynamic Programming, Methods, Class, Objects in Scala30:10

    This Lecture covers:

    • Static vs Dynamic Programming

    • Methods in Scala

    • Class in Scala

    • Objects in Scala

  • Closure, Traits, Scala Identifiers, Keywords, Comments in Scala11:14

    This Lecture covers:

    • Closure in Scala

    • Traits in Scala

    • Scala Identifiers in Scala

    • Keywords in Scala

    • Comments in Scala


    PS: To complete the entire course do follow the next part:

    Fundamentals of Scala with Projects for Beginners [Part-02]

  • Assignment [Section-01]

Requirements

  • No as such knowledge of Scala is required, but familiarity with other programming is assumed.

Description

Course Outcomes: After completion of the course students will be able to

  1. Lear the concepts of a functional programming and understand the fundamentals of Scala language and how to "Write Scala Program"

  2. Understand basic data types and syntax of Scala programming

  3. Conditional statements, Loops

  4. Exposure of working in a multi-paradigm language - OOPs and FP.

  5. Propose functional solution and functional data analysis for data science problems.

  6. Write effective programs using parallel collections to achieve better performance.

  7. Advance Concepts of Scala


Course Description:

This course is all about, Data Science using Scala. The course is divided into 5 parts [Units].

Part - I
Introduction to Scala -Basics, Scala Characteristics, Functional Programming, Parallel Processing, Mutable State, Scala Vs Java, Scala Set up, Mutable vs Immutable, Static vs Dynamic Programming, Methods, Class, Objects, Fields, Closure, Traits, Scala Identifiers, Keywords, Comments, First Scala Basic Program - "Hello World"


Part - II
Scala Data Types, Literal Types, Variable declaration, Variable Types, Access Modifiers, val vs var Scala Operators - Arithmetic Operator, Logical Operator, Bit-wise Operator, Assignment Operators.


Part - III
Conditional statements (if statement, if-else statement , nested if-else statement). Loops-typos of Tor' loops, 'while' loops, 'do while' loops, entry control and exit control, break and continue nested loops.


Part - VI
Scala String, Arrays, Collections, Scala OOPS Concepts, Upper Type Bound, Lower Type Bound, Functions, Function types - Pure and Impure Functions.


Part - V
Advance Concepts of Scala - val. args, partial functions, Traits, Pattern Matching, Regular Expression, Exception Handling, Extractors, File I/O, Type Classes

Who this course is for:

  • Beginner of Scala to apply it in Data Science or to built projects from scratch using Scala