Programming, Data Structures & Algorithms Using Python | NPTEL Course Guide
Course Details
| Exam Registration | 9125 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 8 weeks |
| Categories | Artificial Intelligence, Data Science, Programming, Foundations of Computing, Computational Biology |
| Credit Points | 2 |
| Level | Undergraduate |
| Start Date | 19 Jan 2026 |
| End Date | 13 Mar 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 16 Feb 2026 |
| Exam Date | 28 Mar 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Your Gateway to Mastering Python and Core Computer Science
In today's digital world, proficiency in programming and a solid understanding of data structures and algorithms (DSA) are no longer optional—they are essential. Whether you aim to build a career in Artificial Intelligence, Data Science, Software Development, or any computational field, these fundamentals form the bedrock of your skillset. The NPTEL course "Programming, Data Structures And Algorithms Using Python" is a meticulously designed gateway to this world, offering a structured path from absolute beginner to confident problem-solver.
Taught by the esteemed Prof. Madhavan Mukund of the Chennai Mathematical Institute, this 8-week undergraduate-level course demystifies coding and algorithmic thinking. It's more than just a Python tutorial; it's a comprehensive journey into computational problem-solving.
Why This Course Stands Out: World-Class Instruction
The course's strength lies in its instructor. Prof. Madhavan Mukund isn't just an academic; he's a pillar of the computing education community in India and globally. With a PhD from Aarhus University and a BTech from IIT Bombay, his research in formal verification is complemented by a profound dedication to teaching.
His leadership roles speak volumes: former President of the ACM India Council and the Indian Association for Research in Computing Science (IARCS), and National Coordinator of the Indian Computing Olympiad since 2002. This means the course is crafted by someone who deeply understands what foundational knowledge is crucial for both academic excellence and competitive programming. You are learning from a master educator who has shaped computer science pedagogy at a national level.
Course Overview: From Zero to Algorithmic Hero
Designed as an introductory course, it assumes no prior programming knowledge. All you need is school-level mathematics. It is perfectly suited for first-year students across mathematics, science, and engineering branches.
The course intelligently bridges the gap between basic syntax and advanced concepts. It starts by building a strong foundation in Python—covering variables, control flow, functions, lists, strings, and tuples—using engaging examples. It then seamlessly transitions into core algorithmic thinking, ensuring you understand not just how to write code, but how to write efficient code.
Detailed 8-Week Curriculum: A Structured Learning Path
Here’s a breakdown of what you will master each week:
| Week | Core Topics Covered |
|---|---|
| Week 1 & 2 | Python Fundamentals: Installation, variables, loops, conditionals, functions. Introduction to lists, tuples, strings, and the Python memory model. Basic algorithms like Binary Search and inductive sorts (Selection, Insertion). |
| Week 3 | Algorithmic Analysis & Sorting: Understanding efficiency with Big O notation. Diving deep into efficient sorting algorithms like Merge Sort and Quicksort. |
| Week 4 | Advanced Python & Functional Tools: Mastering dictionaries, higher-order functions, list comprehensions, and passing functions as arguments. |
| Week 5 | Robust Programming: Handling errors with exception handling, file I/O operations, and string processing techniques. |
| Week 6 | Problem-Solving Paradigms & Basic Data Structures: Implementing Backtracking (e.g., N-Queens), understanding scope, and building stacks, queues, and heaps. |
| Week 7 | User-Defined Data Structures: Introduction to Object-Oriented Programming (OOP) with classes and objects. Building and manipulating Linked Lists and Binary Search Trees. |
| Week 8 | Advanced Optimization & Broader View: Techniques like memoization and Dynamic Programming for efficient recursion. A comparative look at other languages (like C) and programming paradigms. |
Who Should Enroll and Industry Relevance
Intended Audience: This course is ideal for:
- First-year undergraduate students in Engineering, Science, or Mathematics.
- Professionals looking to switch to a tech-centric role.
- Anyone with zero programming experience who wants a rigorous, university-style introduction to coding and DSA.
Industry Support: The skills taught are universally in demand. Prof. Mukund notes, "This course should be of value to any company requiring programming skills." From startups to tech giants, the ability to solve problems using efficient algorithms and clean Python code is a prized asset in fields like:
- Artificial Intelligence & Machine Learning
- Data Science & Analytics
- Software Development & Web Development
- Computational Biology & Research
- Backend Systems & Foundations of Computing
Conclusion: Launch Your Programming Journey
The "Programming, Data Structures And Algorithms Using Python" course is more than just an online class; it's a foundational investment in your technical future. Under the expert guidance of Prof. Madhavan Mukund, you will gain the confidence to tackle complex problems, the skills to write efficient code, and the certificate to validate your knowledge from one of India's most prestigious educational initiatives, NPTEL.
By dedicating 8 weeks to this structured curriculum, you will transition from a beginner to a programmer equipped with the core computer science knowledge that forms the basis for advanced study and a successful career in technology. Enroll today and start building your future, one algorithm at a time.
Enroll Now →