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Complete Data Structures & Algorithms (DSA) Training Course Online
The Data Structures & Algorithms (DSA) Course builds strong coding and problem-solving skills through key topics like arrays, linked lists, stacks, trees, graphs, and algorithms such as sorting, searching, and dynamic programming.
With hands-on practice and mini projects, learners gain confidence to write efficient code and prepare for technical interviews, coding contests, and software development roles.
Complete Data Structures & Algorithms (DSA) Course Highlights
This DSA course emphasizes logic building, real-time problem solving, and code optimization techniques. It includes hands-on implementation of all major data structures and algorithms in C, C++, Java, or Python. Learners get exposure to real-world use cases, memory-efficient techniques, and interview-specific patterns.
With interactive problem sets, mini projects, and regular complexity analysis, this is the best DSA online course that ensures you not only understand how DSA works—but how to apply it effectively in coding interviews and scalable software solutions.
- 40-Hour LIVE Instructor-led Training
- Highly Interactive and Dynamic Sessions
- Practical Training on Latest Tools
- 98% Exam Pass Rate
- Learn from Expert Trainers
- Career Guidance and Mentorship
- Extended Post-Training Support
Best Online Data Structures & Algorithms (DSA) Course Learnings
Algorithmic Thinking: Learn how to break down complex problems and apply step-by-step logic to solve them efficiently.
Mastery of Core Data Structures: Understand and implement arrays, linked lists, stacks, queues, trees, heaps, and graphs with real use cases.
Recursion and Dynamic Programming: Build skills in solving recursive problems and optimizing them using dynamic programming techniques.
Time and Space Complexity Analysis: Evaluate code performance with Big O notation and write optimized, scalable solutions.
Practical Coding and Projects: Gain hands-on experience through coding exercises, mini projects, and interview-style challenges.
Complete Data Structures & Algorithms (DSA) Online Course Curriculum
• What are Data Structures and Algorithms?
• Importance of DSA in Programming and Interviews
• Time & Space Complexity (Big O, Ω, Θ Notation)
• Asymptotic Analysis of Code
• Introduction to Arrays
• 1D, 2D, and Multidimensional Arrays
• Array Operations: Insertion, Deletion, Traversal
• String Handling and Operations
• Character Arrays vs. String Objects (in C++/Java)
• Sliding Window and Two-Pointer Techniques
• Prefix Sum and Subarray Problems
Mini Projects: Subarray Sum Calculator, String Pattern Matcher
• Basics of Recursion
• Recursion Tree and Stack Trace
• Tail vs Non-tail Recursion
• Backtracking Concept
• Classic Problems: N-Queens, Sudoku Solver, Rat in a Maze
Mini Projects: Recursive Maze Solver, Word Search
• Singly Linked List: Create, Insert, Delete
• Doubly Linked List & Circular Linked List
• Detecting and Removing Loops
• Reversing a Linked List
• Merge Two Sorted Lists
• Fast & Slow Pointer Approach
Mini Projects: Contact List Manager, Playlist Navigation System
• Stack Implementation (Array/Linked List)
• Infix, Prefix, Postfix Expression Evaluation
• Queue and Circular Queue
• Deque (Double-Ended Queue)
• Applications: Balanced Parentheses, LRU Cache Logic
Mini Projects: Expression Evaluator, Undo-Redo System
• Binary Tree, Binary Search Tree (BST)
• Tree Traversals: Inorder, Preorder, Postorder
• Height, Diameter, Leaf Count
• Balanced Trees: AVL, Red-Black Tree (intro)
• Lowest Common Ancestor (LCA)
• Heap (Min-Heap, Max-Heap), Heap Sort
Mini Projects: Directory Tree Builder, Binary Expression Tree
• Hash Tables & Hash Maps
• Collision Handling (Chaining, Open Addressing)
• Applications: Frequency Counting, Anagram Detection
• Custom Hash Functions
Mini Projects: Dictionary App, Voting System
• Graph Representation: Adjacency List/Matrix
• DFS and BFS Traversal
• Connected Components
• Topological Sorting
• Shortest Path Algorithms: Dijkstra’s, Bellman-Ford
• Minimum Spanning Tree: Prim’s, Kruskal’s
• Graph Cycles, Bipartite Check
Mini Projects: Friend Recommendation System, Shortest Route Finder
• Searching Techniques: Linear, Binary, Ternary
• Sorting Algorithms:
o Bubble, Selection, Insertion
o Merge Sort, Quick Sort, Heap Sort
o Counting Sort, Radix Sort, Bucket Sort
• Searching in Rotated Arrays
• K-th Largest/Smallest Elements
Mini Projects: Leaderboard Manager, Data Sorter
• Introduction to Greedy Method
• Activity Selection Problem
• Huffman Encoding
• Fractional Knapsack
• Job Sequencing with Deadlines
Mini Projects: Event Scheduler, Compression Simulator
• Memoization vs Tabulation
• 1D DP: Fibonacci, Climbing Stairs
• 2D DP: LCS, Knapsack, Matrix Chain Multiplication
• Bitmask DP
• DP on Trees and Graphs
Mini Projects: Optimal Path Finder, Profit Maximizer
• Tries and Applications (Autocomplete)
• Segment Tree, Fenwick Tree
• Disjoint Set (Union-Find)
• Sliding Window Maximum
• KMP and Rabin-Karp Algorithms
• Mo’s Algorithm
Mini Projects: Auto-suggest Feature, Range Query Processor
Training Package
Designed to get you trained with the core knowledge.- Online Live Training
- Live Projects
- Resume Building
- LinkedIn Grooming
- Mock Interview Sessions
- Certificate Assistance
Job Seeker's Package
Designed to make you job ready with knowledge, experience, and grooming.- Online Live Training
- Live Projects
- Resume Building
- LinkedIn Grooming
- Mock Interview Sessions
- Certificate Assistance
Complete Data Structures & Algorithms (DSA) Course Outcomes
Strong Problem-Solving Skills: Develop the ability to approach and solve coding problems with structured logic and efficiency.
Proficiency in Data Structures: Confidently implement and manipulate essential data structures in real-world scenarios.
Algorithm Optimization: Write clean, optimized code with a clear understanding of time and space complexity.
Interview Readiness: Be well-prepared for coding interviews at top tech companies with commonly asked DSA patterns.
Career Advancement: Gain the foundational skills needed for roles in software development, backend engineering, and competitive programming.
Unlock Career Opportunities in IT
Software Developer
Design and build efficient software applications by applying core data structures and algorithms to solve real-world problems.
Backend Engineer
Develop scalable server-side logic and optimize database interactions using advanced algorithmic techniques.
Algorithm Engineer
Focus on performance-critical systems by creating and optimizing custom algorithms for processing large datasets.
Competitive Programmer
Excel in coding competitions and hackathons with strong problem-solving, recursion, and dynamic programming skills.
Technical Consultant
Use DSA knowledge to analyze system performance, troubleshoot bottlenecks, and recommend optimized technical solutions.
Know before you Start
You should know the basics of at least one programming language like C, C++, Java, or Python to get started smoothly.
A problem-solving mindset and comfort with breaking down tasks step-by-step will help you grasp algorithms faster.
Knowing how to use loops, functions, conditions, and basic input/output will make learning DSA much easier.
DSA is all about hands-on learning—regular coding practice is key to mastering the concepts.
Have a code editor or online compiler ready so you can immediately apply what you learn through coding exercises.
Skills You Will Gain
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FAQs
Yes, basic knowledge of a programming language (C, C++, Java, or Python) is recommended.
C++, Java, and Python are all excellent choices. Pick the one you're comfortable with or looking to improve.
Yes, each module includes mini-projects and problem sets to apply what you've learned.
Yes, a certificate will be provided upon successful course completion and project submission.
