Visual course demo
See algorithms come alive
Data Structures & Algorithms — Visual Course
Master 40+ algorithms across 20 topics with step-by-step animations and synced code
Full course
₹399
Learn data structures and algorithms through powerful visualizations, step-by-step explanations, and hands-on practice.
Code
Complexity
Time
O(n²)
Space
O(1)
42,900+
active learners
232+
guided lessons
4.8/5
average rating
4
coding languages
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One path. Zero guesswork.
Follow a deliberate curriculum that compounds your skills—so you always know what to learn next and why it matters.
Complexity, arrays, strings, linked lists, stacks, queues, and the patterns behind them.
Trees, graphs, recursion, greedy methods, and dynamic programming—made visual.
System design, timed interview sets, LeetCode patterns, and high-signal mock practice.
Learning that sticks
Control every execution, follow the exact line of code, and ask the built-in tutor when a concept doesn't click.
Play, pause, rewind, and step through every operation.
Compare JavaScript, Python, Java, and C++ without losing context.
Get explanations tied to the exact step on your screen.
Learning dashboard
Your progress, always visible
Overall progress
68%
18
problems this week
7.4h
focused learning
On track
Interview ready in 4 weeks
Everything you need
Replace scattered videos, disconnected notes, and random problem lists with one cohesive learning experience.
A clear sequence from foundations to advanced interview patterns.
Watch data move, compare, recurse, and resolve in real time.
Follow the executing line in your preferred programming language.
Ask follow-up questions without losing lesson context.
Track mastery, streaks, completion, and weekly momentum.
Train with high-frequency problems and system design scenarios.
Learner stories
See how visual, structured learning helps developers move from confusion to confidence.
“I had solved dozens of tree problems, but I was still pattern-matching. Watching traversals execute finally gave me the mental model I was missing.”
Riya S.
Frontend developer
“The learning path removed the daily decision fatigue. I knew exactly what to study, and the progress view kept me consistent through interview prep.”
Aditya K.
Software engineer
“Switching between Python and Java while the same algorithm ran was incredibly useful. I could focus on the idea, then learn the syntax differences.”
Neha M.
Computer science student