Master Data Structures and Algorithms in Java with strong fundamentals, problem-solving practice, time & space complexity analysis, and interview-focused coding.
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Buy NowLearn Data Structures and Algorithms through concepts, coding practice and interview-style problem solving.
DSA in Java is a practical course designed to build a strong foundation in Data Structures and Algorithms using Java.
The course covers arrays, strings, linked lists, stacks, queues, recursion, trees, graphs, hashing, sorting & searching algorithms, time & space complexity, and problem-solving practice for placements and technical interviews.
Course starts 20 September 2026
Students pursuing Diploma (CSE, IT), B.Tech (CSE, IT, DS, AI & ML, AI & DS), BCA, MCA, or related programs
Beginners who already know basic Java and want to learn Data Structures & Algorithms
Students preparing for coding rounds, practicals & technical interviews
Learners aiming for placements and competitive programming
Students who want strong problem-solving skills with real coding practice
Everything you need to move from Java basics to interview-ready DSA skills.
Syntax, OOP basics & Collections overview
Big-O, Big-Theta and algorithm analysis
Core problems, patterns & techniques
Linear, Binary Search & Sorting algorithms
Linear data structures & their applications
Recursive thinking & backtracking problems
Traversals, BST operations & problems
BFS, DFS & graph-based problem solving
HashMaps, HashSets & DP fundamentals
Practice sheets & mock interview questions
Put your Java DSA knowledge into practice by solving real interview-style problems. Apply algorithmic thinking, optimization and clean coding.
class Solution {
public int[] twoSum(int[] nums, int target) {
Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
int need = target - nums[i];
if (map.containsKey(need)) {
return new int[]{map.get(need), i};
}
map.put(nums[i], i);
}
return new int[]{};
}
}
Learn Data Structures & Algorithms in Java with practical coding, assignments and interview preparation.