Learn · Data Structures & Algorithms

Learn Data Structures & Algorithms

Master the problem-solving skills that top companies actually test — arrays, trees, graphs, sorting and more. A mentor-led path from your first data structure to interview-ready confidence.

Taught the way founder Ashutosh Kumar has mentored developers since 2024 — focused on understanding how solutions work, not memorising them.

Arrays Linked Lists Trees Graphs Sorting Complexity
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Solve, Don't MemoriseLearn how solutions actually work, so you can handle problems you've never seen.

Interview-ReadyThe exact skills technical interviews at top companies test.

1:1 Mentor SupportSomeone to walk through your logic and unblock you, not a video you watch alone.

What Are Data Structures & Algorithms?

Data structures are ways of organising and storing data so it can be used efficiently — like arrays, linked lists, stacks, trees and graphs. Algorithms are the step-by-step methods for solving problems with that data — like searching, sorting or finding the shortest path. Together, they're the core of problem-solving in programming, and the main thing technical interviews test.

At Dhartiputra Coders, you learn DSA the practical way: you understand how each data structure works and when to use it, learn the key algorithms and the thinking behind them, and practise solving real problems step by step. By the end, you can break down a problem, choose the right approach, and write an efficient solution — the skill that gets developers hired.

Some basic programming comfort helps here. New to coding entirely? Start with Programming Fundamentals first, then come back here.

The Syllabus

What You'll Learn — Beginner to Interview-Ready

1
Stage 1

Complexity & Big-O

How to measure how fast and how memory-heavy a solution is — the language used to compare approaches and the first thing interviews expect.

2
Stage 2

Arrays & Strings

The most common data structures, core operations, and the patterns (two pointers, sliding window) that solve a huge share of problems.

3
Stage 3

Linked Lists, Stacks & Queues

Linear structures, how they differ from arrays, and the classic problems built on them.

4
Stage 4

Recursion & Searching

Thinking recursively, binary search, and divide-and-conquer approaches.

5
Stage 5

Sorting Algorithms

Common sorting techniques, how they work, and when each one is the right choice.

6
Stage 6

Trees & Graphs

Hierarchical and connected structures — traversals, and the problems that appear constantly in interviews.

7
Stage 7

Hashing & Problem Patterns

Hash maps/sets and the recurring patterns that turn "hard" problems into familiar ones.

8
Stage 8

Interview Practice

Applying everything to real interview-style problems, explaining your thinking, and building speed and confidence.

You finish able to: Break down a problem, pick the right data structure, and write an efficient, interview-ready solution.

The Thinking That Makes DSA Click

Problem-Solving Patterns

Most problems are variations of a handful of patterns. We teach you to recognise them — so a "new" problem is usually one you already know how to approach.

Efficiency Thinking

Not just getting an answer, but getting it efficiently — the difference between code that works on small inputs and code that scales.

Explaining Your Logic

In real interviews, how you explain your thinking matters as much as the answer. We practise talking through solutions clearly and calmly.

How We Teach DSA

A Structured Roadmap

A clear, ordered path from complexity basics to advanced problems.

1:1 Mentorship

Walk through your logic with a mentor, get unstuck, and learn the "why" behind each solution.

Real Problem Practice

You solve real problems and build the pattern-recognition interviews reward.

Interview Preparation

Mock problem-solving and clear explanations, so you're ready when it counts.

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Who This Path Is For

Students

Preparing for placements and technical interviews.

Job Seekers

Getting interview-ready for developer roles at top companies.

Self-Taught Developers

You can build things, but want to strengthen your problem-solving foundation.

Anyone Serious About Coding

DSA is the skill that separates good developers from great ones.

Where DSA Takes You

DSA is the problem-solving backbone behind every developer role. It strengthens every other path you build next.

Full-Stack Web Development Frontend Development Backend Engineering New to coding? Start with Programming Fundamentals See the complete Developer Roadmaps Explore Career Paths

Ready to Master Problem-Solving?

Book a free session and we'll help you build a DSA plan around your goal — placements, interviews or just becoming a stronger developer. The first conversation is free.

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Frequently Asked Questions

DSA Questions, Answered

Data structures are ways of organising and storing data efficiently — like arrays, linked lists, trees and graphs. Algorithms are the step-by-step methods for solving problems with that data, like searching or sorting. Together they're the core of problem-solving in programming.

Some basic programming comfort helps — variables, loops and functions. If you're brand new, we recommend starting with Programming Fundamentals first, then moving into DSA.

Data structures and algorithms are the main thing technical interviews at top companies test. Strong DSA skills are often the difference between getting an offer and getting rejected, which is why we build them deliberately.

The concepts apply to any language — we focus on the thinking and patterns, taught with practical examples, so it carries over to whatever language you use.

It's mentor-led. You get a structured roadmap plus 1:1 sessions where a mentor walks through your logic — which matters a lot for problem-solving, where getting unstuck is half the battle.

Yes. The path is built around real interview-style problems and explaining your solutions clearly, so you build both the skills and the confidence interviews require.