Course guide · Sharad Khare
Data Structures & Algorithms in Python: DSA Course
Learn core data structures and algorithms in Python for interviews and real problem-solving.
Videos stream on Udemy. This page is the full on-site guide — overview, audience, prerequisites, and learning outcomes — written by Sharad Khare.
Overview
This course introduces data structures and algorithms using Python — the language most interviewers expect today. You work through lists, stacks, queues, trees, and common algorithm patterns with runnable examples, so abstract concepts become tools you can explain in a technical interview or apply on the job.
What you will learn
- Core data structures: arrays, linked lists, stacks, queues, and hash maps
- Tree and graph traversals with clear visual explanations
- Sorting and searching algorithms and when to use each
- Time and space complexity intuition for real interview questions
- Translating problem statements into working Python solutions
Who this course is for
Developers preparing for coding interviews, computer science students who want practical Python practice, and self-taught programmers moving from tutorials to problem-solving.
Prerequisites
Basic Python syntax (variables, loops, functions). No prior DSA coursework required.
How enrollment works
Sharad Khare hosts structured video lessons on Udemy for convenient playback, progress tracking, and certificates. Use the button above to open the official course page. Pricing and promotions are set by Udemy. Many learners pair video lessons with the free note packs on this site’s Notes page for offline review.
Explore more courses
Fourteen structured programs in English and Hindi — Python, data science, machine learning, AI, and more.