Data Structures and Algorithms

Course Details

Data Structures and Algorithms Certification Course

Master Data Structures and Algorithms and launch your career

Implement core data structures: arrays, linked lists, stacks, queues
Solve sorting and searching problems efficiently
Use recursion and dynamic programming techniques
Analyze algorithms using Big-O notation
Work with trees, heaps, hash tables, and graphs

Basic understanding of Python (variables, loops, functions)
No prior knowledge of data structures or algorithms needed
A laptop with internet access
Enthusiasm to solve problems and build logic

Students looking to strengthen coding & problem-solving skills
Beginners aiming to crack coding interviews & internships
Anyone with basic Python knowledge wanting to learn DSA
B.Tech, BCA, MCA, or CS aspirants preparing for placements

Description

Unlock the power of Data Structures and Algorithms. This course is designed to help you build a strong foundation in DSA from arrays and linked lists to trees, graphs, and dynamic programming. You’ll solve real-world problems, write optimized code, and prepare for coding interviews with confidence.

With hands-on practice, quizzes, and project-based learning, you’ll not only learn the concepts but also apply them effectively. Whether you’re a student or preparing for tech roles, this course will take your problem-solving skills to the next level.

Data Structures and Algorithms Course Syllabus

Explore the comprehensive modules below, each crafted to help you master the core concepts and practical techniques in Data Structures and Algorithms. From foundational structures like arrays and linked lists to advanced topics like graphs and dynamic programming, you’ll gain hands-on experience solving real-world coding problems. Build the skills and confidence to write efficient, optimized code and prepare for internships, placements, and competitive programming with ease.

Importance of DSA in programming & interviews
Time and space complexity (Big-O notation)
Python basics: functions, loops, lists, input/output

1D & 2D arrays operations
Sliding window technique
String manipulation and pattern matching

Singly & doubly linked lists
Insertion, deletion, reversal
Detecting loops and merging lists

Stack and queue using lists & deque
Infix, prefix, postfix conversion
Real-world use cases (e.g., browser history)

Recursion basics & problems
Backtracking: N-Queens, Sudoku solver
Understanding call stack

Linear and binary search
Sorting: bubble, selection, insertion, merge, quick sort
Analyzing time complexities

Binary trees, traversal (inorder, preorder, postorder)
BST operations: insert, delete, search
Tree height, balance, lowest common ancestor

Min-heap & max-heap using Python
Heap applications: priority queue, Top-K problems
Hash tables & dictionaries for efficient lookups

Graph representations: adjacency list & matrix
BFS & DFS traversal
Dijkstra’s and shortest path algorithms

Introduction & problem patterns (knapsack, LIS, LCS)
Tabulation vs memoization
Solving DP-based coding questions

Course Details:

Instructor

15+ Year experience

Lesson Duration

12 Weeks

Lessons

Places for Students

47+

Language:

English,

Certifications

Digital, Physical

Buy Course

🎓 Get a certificate of completion to showcase your skills to employers or add to your LinkedIn profile.

Course Completion Certificate: Acknowledge your hard work and commitment with a certificate from Xchieve upon successfully finishing the program.
Internship Certificate: After completing a hands-on internship, you will receive an official certificate from Xchieve and top-tier universities.
Industry Certificate: Earn a prestigious industry certificate from well-known and respected companies as a recognition of your practical expertise.