This DSA course teaches data structures and algorithms in Python, from Big O to graphs and dynamic programming. You solve problems live with a mentor in small batches taught in Hinglish, and every solution you push to GitHub gets reviewed. College students who need C++ or Java for their syllabus can write their practice solutions in those languages too.
At a glance
Tools
Who it's for
Before you start
Outcomes
Real skills you can show — every project goes on your GitHub.
Syllabus
Each module has a clear goal, live classes, a lab session and practice you push to GitHub. Your mentor reviews it and tells you exactly how to improve.
Module 1
Estimate how fast and how memory-hungry your code is before you run it.
Practice: Compare two solutions to the same problem · Analyse ten short code snippets for complexity
Module 2
Solve index-based problems on arrays efficiently.
Practice: Maximum subarray sum (Kadane's algorithm) · Leaders in an array · Rotate an array by K positions
Module 3
Handle text problems such as palindromes, anagrams and pattern search.
Practice: Longest palindromic substring · String compression · Group anagrams
Module 4
Use hash maps and sets to look things up in constant time on average.
dictsetcollections.Counter
Practice: Two Sum · Longest consecutive sequence · Count subarrays with a given sum
Module 5
Build and manipulate pointer-based lists with nodes.
Practice: Detect a loop · Merge two sorted lists · LRU cache (advanced)
Module 6
Apply LIFO and FIFO structures to real problems.
collections.deque
Practice: Next greater element · Evaluate a postfix expression · Sliding window maximum
Module 7
Break problems into smaller copies of themselves and search through choices.
Practice: Subset sum · Rat in a maze · Word search in a grid
Module 8
Work with hierarchical data and keep the smallest or largest items ready.
heapq
Practice: Invert a binary tree · Zigzag level-order traversal · Top K frequent elements · Merge K sorted lists
Module 9
Represent networks and find paths, cycles and orderings in them.
Practice: Number of islands · Shortest path in a binary matrix · Detect a cycle in a directed graph
Module 10
Recognise problem patterns quickly and explain your solution like in a real interview.
Practice: Maximum of all subarrays of size K · Gas station · Implement a trie · Range sum query · Mock interview round with your mentor
Projects
Pick one, plan it like a real team with tickets, build it, and present it. It becomes the centrepiece of your portfolio.
Suggest words as the user types, using a trie built from a word list.
Store, search and rank student records using a binary search tree and hash maps.
Track simulated stock prices and show the top movers using a heap and a hash map.
Count and colour connected regions in a grid or simple image using graph search (DFS/BFS).
A calculator that parses and evaluates expressions with brackets using stacks.
How to join
Courses are taught as part of our live programs, so you also get a mentor, a batch community and a project every month.
Class 11–12, college students and adult beginners
Month 6 — DSA basics: Big O, arrays, strings, hashing, stacks and queues
₹1,800 / month · cancel anytime
Final-year students, graduates and job seekers
Interviews month — Interview-style problem solving across the course, with mock technical rounds
₹2,000 / month · cancel anytime
Where it can lead
Roles this skill helps you towards
No course can guarantee a job. We help you build real skills, real projects and a portfolio you can show.
FAQ
Python's short syntax lets you focus on the logic instead of the code. Most online coding tests let you choose your language, including Python. If your college uses C++ or Java, you can write your practice solutions in those, because the ideas are the same.
Builder covers DSA basics in month 6, after you have built a full-stack project. Career uses the full course for interview-style practice in its final month, with mock technical rounds.
Yes. You need school-level maths only. Ideas like logarithms in Big O are explained from scratch with simple examples.
No one can promise that. DSA helps you clear coding rounds, but companies also look at projects, communication and how you explain your thinking. Our programs work on all of these together.
Solving alone, it is easy to memorise answers without understanding them. Here a mentor solves problems with you live, reviews your code and asks you to explain your approach, which is exactly what interviews test.
Classes are in Hinglish, a mix of Hindi and English. Code, problem statements and notes are in English, as in real coding tests.
Keep going
This Python course takes you from your very first line of code to useful programs, games, scripts and data tools. Classes are live, in small batches of up to 30, taught in Hinglish, and a mentor reviews every assignment you push to GitHub. Python is taught inside our Starter and Builder programs.
This C++ course takes you from your first program to object-oriented design, the Standard Template Library and modern C++. It is planned as live classes in small batches, taught in Hinglish, with a mentor reviewing your code on GitHub. The batch is not scheduled yet, so join the waitlist to hear first.
This Java course covers core Java from the first program to collections, streams, multithreading and databases, ending with a first REST API in Spring Boot. It is planned as live classes in small batches, taught in Hinglish, with a mentor reviewing your code on GitHub. The batch is not scheduled yet, so join the waitlist to hear first.
Baking your code to give you a pie
Join a live demo class, meet the mentor and see how a CodeBakerz batch works. No payment, no pressure — decide after.
