Scala Programming In-Depth

Scala Programming In-Depth, available at $64.99, has an average rating of 4.44, with 28 lectures, based on 548 reviews, and has 38489 subscribers.

You will learn about Scala Programming from scratch to in-depth, starting from simple Hello World programs, Deep diving into Data Structures, Operators (Mathematical, Logical, Conditional) to concepts of OOPs and Functional Programming with Programs solved. Scala In Depth This course is ideal for individuals who are People looking to learn Scala to use in Big Data – Spark or to build Frameworks, Applications, etc It is particularly useful for People looking to learn Scala to use in Big Data – Spark or to build Frameworks, Applications, etc.

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Summary

Title: Scala Programming In-Depth

Price: $64.99

Average Rating: 4.44

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Scala Programming from scratch to in-depth, starting from simple Hello World programs, Deep diving into Data Structures, Operators (Mathematical, Logical, Conditional) to concepts of OOPs and Functional Programming with Programs solved.
Scala In Depth

Who Should Attend

People looking to learn Scala to use in Big Data – Spark or to build Frameworks, Applications, etc

Target Audiences

People looking to learn Scala to use in Big Data – Spark or to build Frameworks, Applications, etc

Learn Scala Programming From Scratch To Depth

From Simple program to Data Structures to OOPS and Functional Programming. Every thing covered with Hands on programming.

Taught in very simple english language so any once can follow the course easily.

No Prerequisites

Perfect start point to learn scala for Big Data Spark, Play, Scalatra, Lift, Sinatra, etc

About Scala:

Scala is a versatile and powerful programming language that combines functional and object-oriented programming paradigms. Originally created by Martin Odersky and released in 2003, Scala has gained popularity for its concise, expressive syntax and its ability to seamlessly integrate with Java, making it a preferred choice for developers seeking a smooth transition from Java to a more modern language.

Scala’s key features include strong static typing, immutability, and pattern matching, making it an excellent language for building robust and maintainable software. It offers a rich set of libraries and frameworks, particularly for web and data applications, with Play Framework and Akka being prominent examples.

One of Scala’s standout features is its support for functional programming, which allows developers to write concise, elegant code that’s easier to reason about. The language also supports concurrent and parallel programming through actors and futures.

Scala is a popular choice in industries such as finance, where performance, scalability, and maintainability are critical. Its versatility, compatibility with existing Java codebases, and active community make it a compelling language for a wide range of software development tasks.

Course Curriculum

Chapter 1: Scala Indepth

Lecture 1: Introduction to Data Engineering Career Path

Lecture 2: Day 1 – Introduction to Scala

Lecture 3: Day 2 – Scala Basics

Lecture 4: Day 3 – Intellij Installation

Lecture 5: Day 4 – Functions, Classes, objects

Lecture 6: Day 5 – Constructors

Lecture 7: Day 6 – Singleton object, Compaignion Classes and Objects and Case Classes and O

Lecture 8: Day 7 – Strings

Lecture 9: Day 8 – Pattern Matching and Regex

Lecture 10: Day 9A – Implicit class

Lecture 11: Day 9B – Conditional Statements and Loops

Lecture 12: Day 10- Packages and Import

Lecture 13: Day 11-Exceptional Handling

Lecture 14: Day 12- Traits, Value Class and Universal Trait

Lecture 15: Day 13- Arrays

Lecture 16: Day 14- Arrays

Lecture 17: Day 15- Functional Programming (1 of 3)

Lecture 18: Day 16- Functional Programming (2 of 3)

Lecture 19: Day 17- Functional Programming (3 of 3)

Lecture 20: Day 18A- Closures

Lecture 21: Day 18B – Collections

Lecture 22: Day 19 – Collections – List (Day 1 of 1)

Lecture 23: Day 20 – Collections – List (Day 2 of 2)

Lecture 24: Day 21 – Collections – Sets

Lecture 25: Day 22 – Collections – Map

Lecture 26: Day 23 – Tuples Options and Iterator

Lecture 27: Day 24 – File Handling

Lecture 28: Career Guidance

Instructors

Harish Masand
Data Engineering and Data Science(Big Data, ML, AI )

Rating Distribution

1 stars: 12 votes
2 stars: 12 votes
3 stars: 54 votes
4 stars: 207 votes
5 stars: 263 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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