Java Programming & DSA Training Course
Build strong Java programming and problem-solving skills with our Java Programming & Data Structures and Algorithms (DSA) Course. Learn Java fundamentals, Object-Oriented Programming (OOP), Collections, Generics, exception handling, and clean coding practices.
Develop practical DSA skills in arrays, strings, linked lists, stacks, queues, trees, graphs, hashing, sorting, searching, recursion, dynamic programming, and Big-O complexity.
Solve real coding problems through hands-on practice and complete a Java Capstone Project. This course prepares learners for Java developer roles, coding assessments, technical interviews, and real-world software development.
Course Objectives:
- Understand and apply core object-oriented programming principles in Java
- Gain hands on experience with free, industry standard Java tools and workflows
- Learn how to choose and implement the right data structure for a given problem
- Develop the skills to analyze and improve the time and space complexity of code
- Be able to solve common DSA problems confidently using only free practice platforms
Course Content:
Module 1: Java Setup & Programming Fundamentals
- Install OpenJDK 25
- Set up Visual Studio Code or IntelliJ IDEA Community Edition
- Java syntax and program structure
- Variables, data types, operators, and input/output
- Basic programming concepts and practice
Module 2: Object-Oriented Programming: Classes, Objects & Encapsulation
- Understanding classes and objects
- Constructors and methods
- Instance and class members
- Encapsulation and access modifiers
- Designing well-structured Java classes
Module 3: Inheritance & Polymorphism
- Understanding inheritance
- Parent and child classes
- Method overriding
- Compile-time and runtime polymorphism
- Practical OOP implementation
Module 4: Abstraction, Interfaces & Abstract Classes
- Understanding abstraction
- Abstract classes and methods
- Interfaces and implementation
- Defining contracts between components
- Choosing between interfaces and abstract classes
Module 5: Exception Handling & Clean Code
- Understanding Java exceptions
- Try-catch-finally
- Throwing and handling exceptions
- Creating custom exceptions
- Clean, readable, and maintainable code practices
Module 6: Collections Framework & Generics
- Introduction to the Java Collections Framework
- Lists, Sets, and Maps
- ArrayList, LinkedList, HashSet, and HashMap
- Iteration and collection operations
- Generics and type-safe programming
Module 7: Algorithm Analysis & Big-O Complexity
- Understanding algorithm efficiency
- Time complexity
- Space complexity
- Big-O notation
- Analyzing and comparing algorithms
Module 8: Arrays & Strings: Core DSA Problems
- Array fundamentals and manipulation
- Searching and traversal techniques
- Two-pointer technique
- Sliding window technique
- String manipulation and problem solving
- Practice with LeetCode and HackerRank
Module 9: Linked Lists, Stacks & Queues
- Singly and doubly linked lists
- Linked list operations
- Stack implementation and applications
- Queue implementation and applications
- Selecting the right data structure for a problem
Module 10: Trees & Graphs
- Tree fundamentals
- Binary trees
- Binary search trees
- Graph fundamentals
- Breadth-First Search (BFS)
- Depth-First Search (DFS)
Module 11: Sorting & Searching Algorithms
- Introduction to sorting algorithms
- Merge Sort
- Quick Sort
- Binary Search
- Comparing algorithm performance
- Selecting the right algorithm for different problems
Module 12: Recursion & Dynamic Programming
- Understanding recursion
- Recursive problem solving
- Base cases and recursive cases
- Dynamic programming fundamentals
- Memoization and tabulation
- Solving optimization problems efficiently
Module 13: Hashing & Interview-Style DSA Practice
- HashMap and HashSet
- Fast lookup techniques
- Frequency counting
- Duplicate detection and lookup problems
- Mixed DSA problem solving
- Interview-style practice using LeetCode and HackerRank
Module 14: Capstone Project: OOP System with DSA
- Design a complete Java application
- Apply object-oriented programming principles
- Select and implement appropriate data structures
- Apply suitable algorithms to solve real problems
- Write clean and maintainable Java code
- Use Git and GitHub for version control
- Build, test, and present the final project
Learning Outcomes:
- Write clean, object-oriented Java code using classes, objects, and encapsulation
- Apply inheritance, polymorphism, and abstraction to structure a Java program
- Handle errors safely using exceptions and follow basic clean code practices
- Use Java’s Collections framework and Generics to write reusable code
- Analyze the time and space complexity of code using Big-O notation
- Solve array, string, linked list, stack, and queue problems in Java
- Work with trees and graphs, including BFS and DFS traversal
- Apply sorting, searching, recursion, and dynamic programming to solve problems
- Use hashing to solve problems efficiently
- Set up and use a fully free Java development workflow (OpenJDK, a free editor, Git, and GitHub)
Prerequisites:
- Basic computer skills and comfort learning new software
- A laptop capable of running OpenJDK and a free code editor (Visual Studio Code or IntelliJ IDEA Community Edition)
- No prior programming experience is required, as Module 1 covers Java from the start
International Student Fees: 350 USD
Flexible Class Options
- Corporate Group Training | Fast-Track
- Weekend Classes For Professionals SAT | SUN
- Online Classes-Live Virtual Class (L.V.C) Online Training
