Data Structures & Algorithms
Data Structures & Algorithms is an intermediate, 10-week course for developers who know one programming language and basic algebra. It teaches choosing and justifying data structures, analyzing algorithmic complexity, and implementing tested search, scheduling and graph operations — covering stacks, queues, linked lists, Big O, hash tables, trees, and BFS/DFS graph traversal.
Choose and justify data structures, analyze complexity and implement tested search, scheduling and graph operations.
What you'll learn
Course details
Duration
10 weeks
Best for
Learners who already have: One programming language, loops, functions and basic algebra.
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in Data Structures & Algorithms.
01Part 1: Programming Problem Solving and Complexity
3 topicsWeek 1
- Python for Algorithmic Problem Solving
- Complexity Analysis
- Problem Solving Framework and Mathematics
02Part 2: Arrays Strings and Hashing
3 topicsWeek 2
- Arrays and Matrix Traversal
- Strings and Pattern Processing
- Hashing Prefix Sums and Sliding Windows
03Part 3: Pointers and Linear Data Structures
3 topicsWeek 3
- Two Pointers and Interval Patterns
- Linked Lists
- Stacks Queues and Deques
04Part 4: Recursion Backtracking and Divide and Conquer
3 topicsWeek 4
- Recursion and Call Stack
- Backtracking and Constraint Search
- Divide and Conquer
05Part 5: Trees Heaps and Tries
3 topicsWeek 5
- Binary Trees and Traversals
- Binary Search Trees and Balanced Trees
- Heaps Priority Queues and Tries
06Part 6: Graphs and Connectivity
3 topicsWeek 6
- Graph Representation and Traversal
- Directed Graphs and Ordering
- Shortest Paths Spanning Trees and Union Find
07Part 7: Sorting Searching Greedy and Bit Techniques
3 topicsWeek 7
- Sorting and Selection
- Binary Search and Search on Answer
- Greedy Algorithms and Bit Manipulation
08Part 8: Dynamic Programming
3 topicsWeek 8
- Dynamic Programming Foundations
- Grid Subsequence and Knapsack Patterns
- Advanced DP and Optimisation
09Part 9: Advanced Patterns and Interview Engineering
3 topicsWeek 9
- Range Queries and Advanced Structures
- Algorithmic Interview Practice
- Practice Analytics and Revision Strategy
10AI Pro
3 topicsWeek 10
- Using AI tools (ChatGPT, Claude, Perplexity) to learn data structures and algorithms faster
- Verifying you can actually implement it — not just follow the explanation
- Project: Learn a new algorithm with AI, then implement it cold
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Want to learn just one piece first?
Data Structures & Algorithms bundles all of these into one program — but each is also available as its own standalone course if you'd rather learn (or brush up on) a single skill first.
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in Data Structures & Algorithms get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, Data Structures & Algorithms, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track. Earning a certificate is free. To view, download and share it, there's a one-time ₹100 release fee per certificate — the same for free-course, paid-course and internship certificates.
Course Completion Certificate
Data24ZoneCertificate of Completion
Illustrative recipient
Your Name Here
Example certificate for completion of
Data Structures & Algorithms
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 10 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
Data Structures & Algorithms
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 10 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
Why are data structures and algorithms important?
Data structures and algorithms determine how efficiently a program stores and processes data. They are the basis of most technical coding interviews and of writing software that stays fast as data grows.
Which programming language is best for learning DSA?
Any mainstream language works; what matters is understanding the concepts. This program uses Python, which keeps the syntax simple so the focus stays on the data structures, algorithms, and complexity analysis.
What topics does a DSA course cover?
Complexity analysis, arrays and strings, hashing, linked lists, stacks and queues, recursion and backtracking, trees and heaps, graphs, sorting and searching, greedy methods, and dynamic programming — the nine parts of this program, ending with interview practice.
What will I learn in the Data Structures & Algorithms course?
You'll learn: Turn a business request into a testable contract; Analyze cost through the operation you actually repeat; Use hash maps for identity and counting; Distinguish ordered search from priority retrieval.
What tools and technologies does the Data Structures & Algorithms course cover?
This course covers: Python, ChatGPT, Claude, Perplexity.
Is the Data Structures & Algorithms course beginner-friendly?
This is a intermediate-level course, so it assumes some prior familiarity with the subject.
How long does the Data Structures & Algorithms course take to complete?
The course is designed to be completed in approximately 10 weeks, depending on your pace.
What enrollment options are available for Data Structures & Algorithms?
Live Class (₹12,999) — Instructor-led live cohort with doubt-clearing sessions — earns both the course and internship certificates (₹100 release fee each). Recorded Batch (₹7,999) — Full recordings of a completed live batch — earns both the course and internship certificates (₹100 release fee each). Internship Track (₹2,499) — Defined project-based internship track; deliverables and review schedule confirmed before payment. Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Data Structures & Algorithms?
Yes — enrolling in the Internship track (or the Live/Recorded tracks, which include it) means working through real projects with our team and earning a separate Internship Certificate, in addition to the course completion certificate for Live/Recorded enrollments.
Will I get a certificate after completing Data Structures & Algorithms?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Live and Recorded enrollments earn both. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile. Earning it is free; releasing it to view, download and share is a one-time ₹100 fee per certificate.
What kind of projects will I build in Data Structures & Algorithms?
You'll work on real projects such as: Dispatch planner with priority scheduling and shortest-route queries.
Is placement support included with Data Structures & Algorithms?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
