Course Overview:
This course is designed to help students and professionals strengthen their logic, problem-solving, and coding skills using Java as the implementation language. It covers all core data structures and algorithmic strategies needed for interviews, competitive programming, and technical jobs in product or service-based companies.
Way of Training:
- Mode: Online / Offline
- Duration: 45 Days
- Online Sessions: 1 Hour/Day
- Offline Sessions: 1 Hour Theory + 1 Hour Lab/Practical
Data Structures and Algorithms Using Java
Course Fee:
- Online Mode: 3999/- only
- Offline Mode: 4999/- only
Includes:
- Live or recorded video sessions
- Full class notes, programs, and dry-run diagrams
- Mini project with real-world implementation
- Interview preparation with MCQs and coding Qs
- Telegram/WhatsApp group access for doubt-solving
Instructor Video :
About the Course:
This course helps learners understand how data can be stored and processed efficiently using Java. It includes real-time examples, dry-runs, and clear explanation of structures like arrays, linked lists, stacks, queues, trees, graphs, and algorithmic techniques like recursion, greedy, and dynamic programming.
Job Roles After Learning Java DSA:
- Java Developer (Entry-level to Intermediate)
- Software Engineer in product-based companies
- Placement-ready fresher in college
- Backend developer (Java/Spring)
- Programmer for coding competitions
Importance of Java DSA in Career:
- Required in most technical interviews
- Used in GATE, competitive platforms like LeetCode, CodeChef
- Boosts logical thinking and code optimization skills
- Acts as a base for learning frameworks like Spring, Hibernate
- Helps in building scalable, efficient applications
Course Content
Module 1: Basics of Java and DSA Introduction
- Overview of Java syntax and class structure
- OOP recap: classes, objects, methods, arrays
- What is data structure and classification
- Need for algorithms and time/space complexity
- Big O, Big Theta, Big Omega
- Dry-run examples to trace logic step-by-step
Module 2: Arrays and Searching
- 1D and 2D array implementation in Java
- Linear search and Binary search
- Insertion, deletion, traversal
- Mini Task: Menu-based student marks manager
- Understanding array limitations
Module 3: Sorting Algorithms
- Bubble sort, Selection sort, Insertion sort
- Merge sort and Quick sort with dry-run
- Sort custom objects using Comparator/Comparable
- Time and space complexity comparison
- Mini Project: Sorting employee data by salary/name
Module 4: Strings and StringBuilder
- String vs StringBuilder vs StringBuffer
- Character frequency, palindrome, word count
- Anagram checker, string reverse, pattern matching
- Mini Program: Login validator using string manipulation
Module 5: Recursion
- Recursion concept with base and recursive calls
- Factorial, Fibonacci, Sum of digits
- Recursion tree with dry-run and stack diagram
- Backtracking basics
- Mini Task: Subset generation using recursion
Module 6: Stack
- Stack using array and LinkedList
- Stack using Java’s Stack class
- Parentheses checker, expression evaluation
- Infix to Postfix conversion
- Mini Task: Undo feature simulator
Module 7: Queue and Deque
- Queue using array and LinkedList
- Circular queue implementation
- Deque using Java’s ArrayDeque
- Priority queue and Java’s PriorityQueue
- Mini Task: Print job management system
Module 8: Linked List
- Singly linked list: insert, delete, traverse
- Doubly linked list: backward traversal
- Circular linked list
- Mini Task: Music playlist manager
- All operations with dry-run diagram
Module 9: Trees
- Binary Tree: creation and traversal
- Inorder, Preorder, Postorder
- Binary Search Tree: insert, delete, search
- Balanced trees basics
- Mini Program: File structure using tree
- Depth, height, leaf count
Module 10: Graphs
- Graph representation: adjacency matrix and list
- BFS and DFS
- Shortest path (Dijkstra), topological sort
- Cycle detection, connected components
- Mini Project: Route finder for a city map
Module 11: Hashing
- HashMap, HashSet usage
- Custom key hashing using hashCode()
- Collision resolution (chaining, open addressing)
- Mini Task: Student registration system using HashMap
Module 12: Greedy Algorithms
- Activity selection
- Coin change (minimum coins)
- Fractional knapsack
- Job scheduling
- Dry-run table for each approach
Module 13: Dynamic Programming
- Recursion vs DP
- Memoization and tabulation
- Fibonacci using DP
- 0/1 Knapsack, LCS, LIS
- Matrix chain multiplication
- Mini Project: Optimal route finder using DP
Module 14: Project on Java DSA
- Project Title: Student Result Processing System
- Features: Add, search, delete, sort, display
- Uses: arrays, linked lists, file writing
- Sorting by percentage, searching by roll no.
- CRUD in-memory using Java collections
- Final version with menu-based CLI
Top 10 Interview Questions
- How is ArrayList different from LinkedList?
- Explain recursion with dry-run.
- What is the difference between DFS and BFS?
- When to use HashMap vs TreeMap?
- How does priority queue work internally?
- Explain time complexity of quick sort and merge sort.
- What are the advantages of dynamic programming?
- What is backtracking and where is it used?
- How are graphs represented in Java?
- Explain Comparable and Comparator usage.
Why Join Techidz for Java DSA?
- Live hands-on coding every session
- Beginner-friendly explanation with real-time problems
- Visualization of recursion, stack, tree, and graphs
- Java Collections + STL usage
- Mini projects and structured logic explanation
- Telegram/WhatsApp support with lifetime access
New & Special Features in Techidz Java DSA Course
- 100+ Java DSA programs
- Mini project with file storage and searching
- Live dry-run for tree, recursion, and sorting
- Competitive programming preparation
- Worksheets, revision quizzes, and interview prep
- Lifetime access to notes, codes, and videos
