Data Mining Course | IIT Kharagpur | Prof. Pabitra Mitra | Algorithms & Applications
Course Details
| Exam Registration | 3949 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 8 weeks |
| Categories | Computer Science and Engineering |
| 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 | 29 Mar 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Data: An In-Depth Guide to the Data Mining Course by IIT Kharagpur
In today's data-driven world, the ability to extract meaningful patterns and insights from vast amounts of information is a superpower. Data Mining sits at the heart of this revolution, powering everything from business intelligence and scientific discovery to recommendation systems and fraud detection. If you're looking to build a strong foundation in this critical field, look no further than the comprehensive Data Mining course offered by the prestigious Indian Institute of Technology Kharagpur (IIT Kharagpur).
Your Expert Guide: Prof. Pabitra Mitra
This course is expertly delivered by Prof. Pabitra Mitra, a distinguished Associate Professor in the Department of Computer Science and Engineering at IIT Kharagpur. With a stellar academic background (B.Tech from IIT Kharagpur, PhD from ISI Calcutta) and rich professional experience as a Scientist at CAIR, Bangalore, and a faculty member at IIT Kanpur, Prof. Mitra brings immense depth to the subject.
His expertise is recognized through prestigious awards like the INAE Young Engineer Award, IBM Faculty Award, and Yahoo Faculty Award. As the author of a book on Data Mining and numerous international journal papers, he is perfectly positioned to demystify complex concepts for students.
Course Overview: What You Will Learn
This 8-week undergraduate-level course is designed to provide a solid grounding in the fundamentals and applications of data mining. It seamlessly blends theory with practical implementation, making it ideal for students and professionals alike.
ABOUT THE COURSE: Data mining is the study of algorithms for finding patterns in large data sets. This interdisciplinary course covers databases, machine learning, and algorithms. You will learn core techniques and see their implementation in open-source software, culminating in real-world industrial case studies.
INTENDED AUDIENCE: Students from any engineering discipline, mathematics, and physics.
INDUSTRY SUPPORT: Recognized by major industry players including TCS, Infosys, Cognizant (CTS), and Accenture, highlighting its relevance to current job market demands.
Detailed 8-Week Course Curriculum
The course is meticulously structured to take you from basic concepts to advanced applications. Here’s a week-by-week breakdown:
| Week | Topics Covered |
|---|---|
| Week 1 | Introduction, Data Preprocessing |
| Week 2 | Association Rule Mining, Classification Basics |
| Week 3 | Decision Tree, Bayes Classifier, K-Nearest Neighbor |
| Week 4 | Support Vector Machine, Kernel Machine |
| Week 5 | Clustering, Outlier Detection |
| Week 6 | Sequence Mining |
| Week 7 | Evaluation, Visualization |
| Week 8 | Industrial Case Studies |
Essential Reference Books
To complement the video lectures, the course recommends two seminal textbooks, ensuring a deep and rigorous understanding:
- Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar (Pearson Education, 2016).
- Data Mining: Concepts and Techniques by Jiawei Han, Micheline Kamber, and Jian Pei (Elsevier, 2011).
Why Enroll in This Data Mining Course?
- Academic Excellence: Learn from an award-winning professor at a top-tier institution.
- Structured Learning Path: A clear progression from fundamentals to advanced topics and real-world applications.
- Industry Relevance: Curriculum supported by leading IT companies, ensuring skills are job-market ready.
- Interdisciplinary Approach: Suitable for students from computer science, engineering, mathematics, and physics backgrounds.
- Practical Implementation: Exposure to implementing algorithms using open-source software.
Whether you aim to build a career in data science, enhance your academic research, or simply understand the forces shaping the modern digital economy, this Data Mining course by Prof. Pabitra Mitra of IIT Kharagpur is an invaluable resource. Enroll today and take the first step towards mastering the art and science of extracting knowledge from data.
Enroll Now →