Master Data Structures and Algorithms in Python 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 Python is a practical course designed to build a strong foundation in Data Structures and Algorithms using Python.
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 Python 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 Python basics to interview-ready DSA skills.
Syntax, functions & built-in data structures
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
Dictionaries, sets & DP fundamentals
Practice sheets & mock interview questions
Put your Python DSA knowledge into practice by solving real interview-style problems. Apply algorithmic thinking, optimization and clean coding.
def two_sum(nums, target):
seen = {}
for i, num in enumerate(nums):
need = target - num
if need in seen:
return [seen[need], i]
seen[num] = i
return []
Learn Data Structures & Algorithms in Python with practical coding, assignments and interview preparation.