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DSA

DSA using Java

Build programming fundamentals, master data structures and turn interview problems into clear, efficient solutions using Java.

Beginner → IntermediateClassroom / Live · availability pending

A clear learning outcome.

Build programming fundamentals, master data structures and turn interview problems into clear, efficient solutions using Java.

Who should join

Students starting programming or strengthening their fundamentals.

What you’ll learn

  • Write and debug programs confidently.
  • Choose efficient approaches and explain their complexity.
  • Break a complex problem into recursive decisions.
  • Select suitable structures for common problem patterns.
  • Solve connected, hierarchical and path-based problems.
  • Present a clear solution with complexity and edge cases.

Technologies & concepts

JavaAlgorithmsProblem solving

Inside the syllabus.

Suggested syllabus for academic review. Module allocations are illustrative; confirm the current batch curriculum and total duration before enrolling.
MODULE 01
Programming foundationsSuggested allocation: 3–4 sessions
  • Types and operators
  • Control flow
  • Methods
  • Classes and objects
  • Collections basics

Assignment / build: Build a console-based utility with input validation.

Learning outcome: Write and debug programs confidently.

MODULE 02
Arrays, strings & complexitySuggested allocation: 3–4 sessions
  • Big-O analysis
  • Arrays and strings
  • Two pointers
  • Sliding windows
  • Sorting and binary search

Assignment / build: Solve a graded set of array and search problems.

Learning outcome: Choose efficient approaches and explain their complexity.

MODULE 03
Recursion & backtrackingSuggested allocation: 3–4 sessions
  • Recursion trees
  • Divide and conquer
  • Subsets
  • Permutations
  • Constraint-based search

Assignment / build: Implement a maze or constraint solver.

Learning outcome: Break a complex problem into recursive decisions.

MODULE 04
Core data structuresSuggested allocation: 3–4 sessions
  • Linked lists
  • Stacks and queues
  • Hash maps
  • Heaps
  • Implementation tradeoffs

Assignment / build: Build and test reusable data structure implementations.

Learning outcome: Select suitable structures for common problem patterns.

MODULE 05
Trees & graphsSuggested allocation: 3–4 sessions
  • Binary trees
  • BSTs
  • Traversal
  • BFS and DFS
  • Shortest paths
  • Disjoint sets

Assignment / build: Model routes as a graph and implement path finding.

Learning outcome: Solve connected, hierarchical and path-based problems.

MODULE 06
Dynamic programming & interviewsSuggested allocation: 3–4 sessions
  • Memoization
  • Tabulation
  • Knapsack patterns
  • Greedy reasoning
  • Mixed problem practice
  • Timed explanations

Assignment / build: Complete timed problem sets and a mock problem walkthrough.

Learning outcome: Present a clear solution with complexity and edge cases.

Build something worth discussing.

Route planner

A suggested project direction. Your mentor will confirm scope and review criteria.

Data structure toolkit

A suggested project direction. Your mentor will confirm scope and review criteria.

UP TO100%SCHOLARSHIP
CAST · YOUR OPPORTUNITY TO LEARN

Your ambition. A scholarship to match.

Apply for CAST — the Coding Blocks Aptitude and Scholarship Test — and earn a scholarship of up to 100% on course fees.

Available for classroom and Live interactive courses, including Sampoorna. Awards are subject to the test’s eligibility and award terms.

Apply for CAST

Your schedule. Your batch.

No upcoming batches

No batches are currently listed for this course. Enquire about the next intake.

Get the current schedule ↗

Learn. Practice. Build.

The suggested methodology connects concept sessions, exercises, reviewed assignments and a practical project. Confirm doubt support, recording availability and mock interview inclusions for your selected batch.

Career relevance

This pathway builds skills for project work and relevant technical discussions. Course completion alone does not guarantee an interview or employment outcome.

A little clarity

Good questions.
Clear answers.

Classroom or live: which learning mode is right for me?

Classroom learning suits students who prefer an in-person routine and peer interaction. Live learning suits those who need to attend remotely. Ask the advisor about center availability, schedules and support for your selected batch.

How long are the programs?

Duration depends on the course, batch and schedule. This source package leaves duration and dates open until the current batch information is confirmed.

Are there projects and doubt sessions?

Project ideas appear on each course page. Project scope, doubt-session format and availability must be confirmed against the selected batch curriculum and support policy.

Continue your journey

Related pathways.

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DSA using C++

Build programming fundamentals, master data structures and turn interview problems into clear, efficient solutions using C++.

Classroom / Live · enquireBeginner → Intermediate
C++AlgorithmsProblem solving

Duration & mentor: confirmed with your batch.

Syllabus & projects insideView course ↗
DSA

DSA using Python

Build programming fundamentals, master data structures and turn interview problems into clear, efficient solutions using Python.

Classroom / Live · enquireBeginner → Intermediate
PythonAlgorithmsProblem solving

Duration & mentor: confirmed with your batch.

Syllabus & projects insideView course ↗

Your developer journey
can start today.

Find your starting point. Build something you’re proud of.