
Skillama course
Scala
Learn Scala for Big Data and Modern Software Development.
Overview
This course introduces learners to Scala, a versatile language widely used in big data and enterprise environments. It begins with setting up the environment and writing simple programs before moving into core programming constructs like variables, functions, and control flow. Learners will explore both object-oriented and functional programming paradigms, work with collections and data transformations, and gain exposure to Apache Spark through hands-on exercises. The course concludes with a mini-project that integrates multiple concepts into a practical application.
Objectives
- Understand the basics of Scala syntax, variables, data types, and control structures.
- Apply functional and object-oriented programming principles using Scala collections and functions.
- Develop skills in handling exceptions, file operations, and working with Apache Spark using Scala.
Key topics
- Introduction to Scala and its features
- Control flow and function definitions
- Object-oriented and functional programming concepts
- Collections and data processing in Scala
- Scala for Apache Spark and big data applications
Expected outcomes
- Build and run basic Scala programs including calculator and pattern printing utilities.
- Implement data transformation and analysis tasks using Scala collections and Spark.
- Create a complete student management system with file storage and reporting features.
How the AI Tutor can help
How the Skillama AI Tutor helps with the listed lectures: explanations, follow-up questions, and running or debugging practice code.
Who this is for
This course is for beginners who want to learn Scala programming for big data and enterprise applications.
Curriculum
1. Introduction to Scala
- What is Scala?
- Features and Benefits
- Scala vs Java
- Applications of Scala
- Setting up Scala Environment
- Running Your First Scala Program
- Hands-on:Install Scala
- Hands-on:Write and execute "Hello World"
2. Scala Basics
- Variables and Constants (val & var)
- Data Types
- Operators
- Type Inference
- String Interpolation
- User Input & Output
- Comments
- Hands-on:Calculator Program
- Hands-on:Temperature Converter
3. Control Flow
- If-Else Statements
- Nested Conditions
- Match Expressions (Switch Alternative)
- For Loop
- While Loop
- Do-While Loop
- Break Concepts
- Hands-on:Grade Calculator
- Hands-on:Number Pattern Programs
4. Functions
- Function Declaration
- Parameters
- Return Types
- Anonymous Functions (Lambda)
- Higher Order Functions
- Recursion
- Default & Named Parameters
- Hands-on:Factorial
- Hands-on:Fibonacci
- Hands-on:Prime Number
5. Collections
- Array
- List
- Set
- Map
- Tuple
- Range
- Mutable vs Immutable Collections
- Hands-on:Student Marks Processing
- Hands-on:Shopping Cart
6. Object-Oriented Programming
- Classes & Objects
- Constructors
- Methods
- Inheritance
- Traits
- Abstract Classes
- Encapsulation
- Polymorphism
- Hands-on:Employee Management System
7. Scala Functional Programming
- Functional Programming Concepts
- Immutable Objects
- Pure Functions
- Higher Order Functions
- Map
- Filter
- Reduce
- Fold
- FlatMap
- Hands-on: Data Transformation Exercises
8. Exception Handling
- Try
- Catch
- Finally
- Throw
- Custom Exceptions
- Hands-on: Bank Account Validation
9. File Handling
- Reading Files
- Writing Files
- Working with CSV Files
- Hands-on: Read Employee Data
- Hands-on:Generate Reports
10. Scala for Big Data
- Why Scala for Apache Spark
- Introduction to Spark
- Spark Architecture
- Scala with Spark Shell
- Writing Spark Programs in Scala
- RDD Basics
- DataFrame Basics
- Spark SQL Introduction
- Hands-on: Word Count
- Hands-on: Employee Data Analysis
- Hands-on: CSV Processing
11. Mini Project
- Student Management System
- Features: Add Student
- Features: Update Student
- Features: Delete Student
- Features: Search Student
- Features: Generate Reports
- Features: File Storage
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