The Data Science for Engineers course offers a comprehensive introduction to the fundamentals of data science, tailored for engineers. Designed by IIT Madras experts, the course equips learners with essential skills in programming, mathematics, and data analysis to solve real-world problems.
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NPTEL Data Science For Engineers 2025
About the Course:
Learning Objectives
Programming Fundamentals: Introduce R as a programming language.
Mathematical Foundations: Establish core mathematical concepts for data science.
Algorithmic Insights: Introduce first-level data science algorithms.
Problem-Solving Framework: Define a structured approach to data analytics.
Practical Application: Capstone case study for real-world application.
Learning Outcomes
Remembering: Describe the process flow for data science problems.
Comprehension: Classify problems into standard typologies.
Application: Develop R codes for solutions.
Analysis: Correlate results to the solution approach.
Evaluation: Assess and critique solution strategies.
Creation: Construct use cases to validate and improve approaches.
Course Structure and Timeline
Course Layout
Week 1: Course philosophy and introduction to R.
Week 2: Linear algebra for data science (algebraic and geometric perspectives).
Week 3: Statistics (descriptive statistics, probability, and hypothesis testing).
Week 4: Optimization techniques.
Week 5: Data science problem typology and solution frameworks.
Week 6: Linear regression and model assessment.
Week 7: Classification using logistic regression.
Week 8: Classification using k-NN and k-means clustering.
Recommended Reading
Introduction to Linear Algebra by Gilbert Strang.
Applied Statistics and Probability for Engineers by Douglas Montgomery.
Certification Details
The course is free to enroll and learn. Certification is optional and involves a proctored exam.
Exam Details
Date: March 22, 2025.
Morning Session: 9:00 AM - 12:00 PM.
Afternoon Session: 2:00 PM - 5:00 PM.
Fee: INR 1000/- per exam.
Registration: Opens soon; announcements will follow.
Eligibility:
Average assignment score ≥ 10/25.
Exam score ≥ 30/75.
Final score ≥ 40/100.
Certification Criteria
Assignment Weightage: 25% (Best 6 out of 8 assignments).
Exam Weightage: 75%.
The certificate will feature your name, photograph, score breakdown, and logos of NPTEL and IIT Madras.
Only e-certificates will be issued; hard copies are not available.
Instructor Profiles
Prof. Ragunathan Rengasamy
Prof. Rengasamy is a professor at IIT Madras and a former faculty member at Texas Tech University and IIT Bombay. His expertise includes fault detection, diagnosis, and developing data science algorithms for manufacturing industries.
Prof. Shankar Narasimhan
A professor in the Chemical Engineering Department at IIT Madras, Prof. Narasimhan specializes in data mining, process optimization, and fault diagnosis. He is also the co-author of a critically acclaimed book on data reconciliation and error detection.
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Additional Announcements
Week 1 Content
The lecture videos for Week 1 are now live. Access the content here. Other lectures are accessible via the navigation bar.
Exam Registration
Registration Deadline: February 14, 2025 (5:00 PM).
Early Fee Deadline: February 10, 2025 (5:00 PM).
Late Registration: Additional fee applies after February 10, 2025.
Fee Waivers: 50% for SC/ST and PwD categories (valid documentation required).
Domain Certification
Learners can earn a specialized domain certificate by completing requisite courses. For details, visit NPTEL Domains.