Master problem-solving skills and write efficient code by learning core data structures and algorithms using Python.
The Data Structures and Algorithms with Python course focuses on building strong logical thinking and problem-solving skills, which are essential for software development and technical interviews.
You will learn how to analyze problems, choose the right data structure, and write optimized algorithms using Python.
This is an essential course for cracking coding interviews and preparing for product-based company roles.
The course is interview-oriented and practice-driven, aligned with real hiring patterns followed by top tech companies.
Structured and in-depth learning path designed to make you interview-ready through consistent problem solving.
Python syntax review, time & space complexity basics, and structured problem-solving approach.
Array operations, string manipulation techniques, sliding window problems, and practice questions.
Singly & doubly linked lists, insertion, deletion, traversal, and problem solving.
Stack operations, queue & deque, and real-world applications.
Recursion fundamentals, recursive problem solving, and backtracking basics.
Linear search, binary search, and search-based problem solving.
Bubble, selection, insertion sort, merge sort, quick sort, and performance analysis.
Hash tables, dictionaries & sets in Python, and hash-based problem solving.
Binary trees, Binary Search Trees (BST), tree traversals, and problem solving.
Graph representation, BFS & DFS algorithms, and graph problem solving.
Greedy approach concepts and classic greedy problems.
DP fundamentals, memoization & tabulation, and DP problem-solving techniques.
Coding interview patterns, curated practice problem sets, and mock interview questions.
To develop strong analytical and problem-solving skills by mastering data structures and algorithms using Python and become interview-ready for software development roles.
Talk to our mentors, understand your current level, and start building strong DSA skills with Python.
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