Total: $1,100.00
6 Week JAVA DSA
★★★★★
(334 Reviews)
The Java DSA course prepares you for data structures and algorithm (DSA) interview questions using Java, enhancing problem-solving skills for coding interviews.
₹4999/- Duration: 6 Weeks
Why Learn C++ DSA?
Enhance algorithm skills using C++ DSA
Efficient Problem-Solving Skills
C++ DSA improves logic, problem-solving, and coding skills for complex challenges.
High Performance and Speed
C++ offers fast execution, memory efficiency, ideal for competitive programming and system applications.
Essential for Coding Interviews
Top tech companies assess C++ DSA skills in interviews, essential for securing high-paying jobs.
Foundation for Advanced Technologies
Mastering C++ DSA builds a strong foundation for machine learning and development.
Training Curriculum
Master Skills with Detailed Curriculum
- Overview of Java and its features
- Importance of Data Structures and Algorithms
- Setting up the development environment
- Basics of time and space complexity
- Variables, data types, and operators
- Control flow statements (loops, conditionals)
- Functions and recursion
- Object-oriented programming (OOP) concepts
- One-dimensional and multi-dimensional arrays
- Array operations (searching, sorting, and manipulation)
- String manipulation techniques
- Two-pointer and sliding window techniques
- Singly linked list (insertion, deletion, and traversal)
- Doubly linked list and circular linked list
- Detecting and removing loops in linked lists
- Practical implementations of linked lists
- Introduction to stacks and queues
- Implementation using arrays and linked lists
- Applications of stacks (infix, postfix, and prefix expressions)
- Queue variations: circular queue, priority queue, and deque
- Introduction to recursion and recursive functions
- Backtracking techniques and problems (N-Queens, Sudoku solver)
- Recursion vs. iteration comparison
- Optimization techniques in recursive algorithms
- Introduction to trees and binary trees
- Tree traversals (inorder, preorder, postorder, level order)
- Binary search tree (insertion, deletion, and searching)
- AVL trees and balanced tree concepts
- Introduction to heaps (min-heap, max-heap)
- Heap operations and heap sort
- Introduction to hashing and hash functions
- Collision handling techniques (chaining, open addressing)
- Representation of graphs (adjacency list, adjacency matrix)
- BFS and DFS traversal algorithms
- Shortest path algorithms (Dijkstra, Floyd-Warshall, Bellman-Ford)
- Minimum spanning tree (Kruskal’s and Prim’s algorithms)
- Searching algorithms (linear search, binary search)
- Sorting algorithms (bubble, selection, insertion, merge, quick, heap sort)
- Divide and conquer approach
- Performance analysis of sorting algorithms
- Introduction to dynamic programming (DP)
- Memoization and tabulation techniques
- Classic DP problems (knapsack, longest common subsequence, coin change)
- Optimization techniques for DP
- Trie and segment trees
- Bit manipulation techniques
- Disjoint set union (DSU) and graph coloring
- Real-world applications of DSA in software development
- Common DSA problems asked in interviews
- Mock coding tests and problem-solving sessions
- Hands-on projects using Java and DSA
- Final assessment and certification
Summer Training Enquiry Form
Job Assistance Program
What placement assistance will you receive?
Free Placement Prep Training
Learn how to build your resume, make great applications, and ace your interviews.
Curated Internships & Jobs
Get internships and fresher jobs as per your preference in your inbox.
Get highlighted on Bsates Edtech
Top performers will be highlighted in their internship & job applications.
Training Highlights
How will your training work?
Learn Concepts
Go through training modules to learn and grasp essential concepts effectively.
Test Yourself
Test your knowledge through quizzes & module tests at regular intervals.
Hands-on Practice
Work on assignments and projects. Use our in-browser IDE for coding practice.
1:1 Doubt Solving
Get your doubts solved by experts through Q&A forum within 24 hours.
Take Final Exam
Successfully complete your training by preparing for and taking the final exam.
Get Certified
Earn your certification after successfully completing the training program.
COURSE CURRICULUM
Master Skills with Detailed Curriculum
1
Module 1: Introduction to Java and DSA
Overview of Java and its features
Importance of Data Structures and Algorithms
Setting up the development environment
Basics of time and space complexity
2
Module 2: Java Fundamentals for DSA
Variables, data types, and operators
Control flow statements (loops, conditionals)
Functions and recursion
Object-oriented programming (OOP) concepts
3
Module 3: Arrays and Strings
One-dimensional and multi-dimensional arrays
Array operations (searching, sorting, and manipulation)
String manipulation techniques
Two-pointer and sliding window techniques
4
Module 4: Linked Lists
Singly linked list (insertion, deletion, and traversal)
Doubly linked list and circular linked list
Detecting and removing loops in linked lists
Practical implementations of linked lists
5
Module 5: Stacks and Queues
Introduction to stacks and queues
Implementation using arrays and linked lists
Applications of stacks (infix, postfix, and prefix expressions)
Queue variations: circular queue, priority queue, and deque
6
Module 6: Recursion and Backtracking
Introduction to recursion and recursive functions
Backtracking techniques and problems (N-Queens, Sudoku solver)
Recursion vs. iteration comparison
Optimization techniques in recursive algorithms
7
Module 7: Trees and Binary Search Trees (BST)
Introduction to trees and binary trees
Tree traversals (inorder, preorder, postorder, level order)
Binary search tree (insertion, deletion, and searching)
AVL trees and balanced tree concepts
8
Module 8: Heaps and Hashing
Introduction to heaps (min-heap, max-heap)
Heap operations and heap sort
Introduction to hashing and hash functions
Collision handling techniques (chaining, open addressing)
9
Module 9: Graphs and Graph Algorithms
Representation of graphs (adjacency list, adjacency matrix)
BFS and DFS traversal algorithms
Shortest path algorithms (Dijkstra, Floyd-Warshall, Bellman-Ford)
Minimum spanning tree (Kruskal’s and Prim’s algorithms)
10
Module 10: Sorting and Searching Algorithms
Searching algorithms (linear search, binary search)
Sorting algorithms (bubble, selection, insertion, merge, quick, heap sort)
Divide and conquer approach
Performance analysis of sorting algorithms
11
Module 11: Dynamic Programming
Introduction to dynamic programming (DP)
Memoization and tabulation techniques
Classic DP problems (knapsack, longest common subsequence, coin change)
Optimization techniques for DP
12
Module 12: Advanced Topics and Real-World Applications
Trie and segment trees
Bit manipulation techniques
Disjoint set union (DSU) and graph coloring
Real-world applications of DSA in software development
13
Module 13: Coding Interview Preparation and Projects
Common DSA problems asked in interviews
Mock coding tests and problem-solving sessions
Hands-on projects using Java and DSA
Final assessment and certification
Frequently Asked Questions
This course covers Java programming, data structures, and algorithms (DSA) to help students prepare for coding interviews and competitive programming.
Beginners, students, and professionals who want to improve problem-solving skills and prepare for technical interviews or competitive coding.
Basic Java knowledge is helpful but not mandatory. The course starts with Java fundamentals before diving into DSA concepts.
The course includes arrays, linked lists, stacks, queues, trees, graphs, recursion, dynamic programming, and sorting algorithms using Java.
The training typically lasts 6 to 8 weeks, but it depends on your learning pace.
Yes, you will earn a Java DSA certification upon successfully completing the training and assessments.
Yes, the course includes coding exercises, real-world projects, and 500+ DSA-based problems to strengthen your understanding.
It prepares you for coding interviews at top companies by covering frequently asked DSA problems and improving problem-solving efficiency.
You can register online through the course provider’s website and start learning immediately.
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