Hands-on Projects
4 real-world projects — from fundamentals to a portfolio-ready capstone that proves job-ready skill.
Development
Data Structures & Algorithms Course
Crack coding interviews with confidence. Practical training in Jabalpur with certification, project work, and placement support.
Projects
4 hands-on
Duration
2 months
Enrolled
300+ enrolled
Certificate
Included
DSA
What is the Data Structures & Algorithms course?
The Data Structures & Algorithms course at IMG Jabalpur is a job-oriented program for learners who want practical, guided training in Arrays, Linked Lists, Trees, Graphs. The course combines classroom learning, assignments, and project work so you can understand the subject and show proof of skill.
ArraysLinked ListsTreesGraphsSortingSearchingDynamic Programming
Write production-style code with modern tools
Understand debugging, deployment, and version control
Build a portfolio-ready project or capstone
Prepare for interviews with practical assignments
Earn a course completion certificate
Get guidance from experienced trainers
What you'll build
4 portfolio-ready projects
- 150-problem coding portfolio with optimal solutions and complexity analysis
- 2Graph traversal and shortest-path algorithm visualizer
- 3Dynamic programming problem set covering 20+ classic interview patterns
- 4Binary search tree and heap data structure implementation project
Curriculum
What you will learn — module by module
6 structured modules covering every concept you'll use on the job.
1
Complexity Analysis & Arrays
- Big O notation — O(1), O(n), O(n²), O(log n), O(n log n)
- Time vs space complexity, best/worst/average case analysis
- Arrays — traversal, insertion, deletion, rotation, prefix sums
- Two pointers technique — pair sum, container with most water
- Sliding window — fixed and variable size, maximum subarray sum
- Sorting arrays — bubble, selection, insertion, counting, radix sort
2
Strings & Hashing
- String manipulation — reversal, palindrome, anagram detection
- Pattern matching — brute force, KMP algorithm
- Hashing — hash tables, hash maps, collision resolution
- Frequency counting — character frequency, majority element
- Two-sum, group anagrams, longest substring problems
- String builder patterns for O(n) string construction
3
Linked Lists, Stacks & Queues
- Singly linked list — insertion (head/tail/middle), deletion, reversal
- Doubly linked list — forward/backward traversal, LRU cache implementation
- Floyd's cycle detection algorithm — detecting and finding loop start
- Merge two sorted lists, find intersection, remove nth from end
- Stack applications — balanced parentheses, next greater element, monotonic stack
- Queue — BFS traversal, sliding window maximum, circular queue
4
Trees & Binary Search Trees
- Binary tree — node structure, height, diameter, level order traversal
- DFS traversals — inorder (LNR), preorder (NLR), postorder (LRN)
- BST operations — search, insert, delete, validate BST
- AVL trees — rotation types, balancing factor, self-balancing
- Heaps — min-heap, max-heap, heapify, heap sort, Kth largest element
- Trie — insert, search, startsWith, applications in autocomplete
5
Graphs
- Graph representations — adjacency list, adjacency matrix, edge list
- BFS — shortest path in unweighted graph, level order, word ladder
- DFS — connected components, cycle detection, topological sort
- Dijkstra's algorithm — single-source shortest path with priority queue
- Bellman-Ford and Floyd-Warshall for weighted graphs
- Union-Find (Disjoint Set) — path compression, union by rank, Kruskal's MST
6
Dynamic Programming & Backtracking
- Memoization vs tabulation — recursive top-down vs iterative bottom-up
- 1D DP — climbing stairs, house robber, Fibonacci, coin change
- 2D DP — 0/1 knapsack, longest common subsequence, edit distance
- String DP — palindrome partitioning, wildcard matching
- Backtracking — N-Queens, Sudoku solver, permutations, combinations, subsets
- Greedy algorithms — interval scheduling, jump game, gas station
Career Paths
Roles you can target after this course
From your first job to senior positions — see where this course takes your career.
Fresher Roles
0 – 2 years experience
- Software Engineer (Product Companies via campus)
- Junior Programmer
- Associate Software Engineer
- Graduate Engineer Trainee (GET)
- Competitive Programmer (FAANG-track)
- Junior Developer at Startups / IT Services
Mid-Level Roles
3 – 5+ years experience
- Software Engineer II / III
- Senior Software Engineer
- Product Engineer at Top-tier Companies
- Technical Interview Coach
- Staff Engineer (progression)
- Engineering Manager (progression)
Program Details
Everything included in the program
Structured Learning
Step-by-step modules designed for beginners through advanced learners. No prior experience needed.
Certification
Students receive a completion certificate. Select programs also prepare for industry-recognized exams.
Placement Support
Resume review, mock interviews, project mentoring and placement assistance to get you hired.
A little clarity
Data Structures & Algorithms FAQs
What projects will I build in the Data Structures & Algorithms course?
You will build 4 hands-on projects including: 50-problem coding portfolio with optimal solutions and complexity analysis; Graph traversal and shortest-path algorithm visualizer; and more. Each project is designed to demonstrate job-ready skills.
How long is the Data Structures & Algorithms course?
The Data Structures & Algorithms course duration is 2 months. The program includes guided training, practical exercises, and project work.
What will I learn in the Data Structures & Algorithms course?
You will learn Arrays, Linked Lists, Trees, Graphs, Sorting, Searching and related practical skills through hands-on assignments and guided projects.
Is the Data Structures & Algorithms course beginner friendly?
Yes. IMG courses are designed to start with fundamentals and progress into job-ready practical work, so beginners and career-switchers can join.
Does IMG provide placement support after this course?
Yes. IMG provides placement assistance, resume support, interview preparation, and project guidance to help students become job-ready.
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