SWAYAM / NPTEL course guide
Python for Data Science
Find the official course links, understand the subject focus, and use Notes Le Lo’s independent handwritten notes, codes, and assignment practice for organized preparation.
What this course is about
Python for Data Science introduces Python programming for data handling, computation, visualization, and analysis. It is useful for students who want a compact foundation before moving into machine learning, analytics, and applied data science workflows.
The official SWAYAM/NPTEL page should remain your primary source for enrollment, weekly deadlines, exam registration, certificate rules, and instructor announcements. This Notes Le Lo page is meant to help students find independent preparation support in one place.
How Notes Le Lo helps you prepare
Revise key concepts
Revise Python basics, data handling, numerical computation, plotting, and data-analysis workflows.
Practice assignment patterns
Use handwritten notes and code-oriented material to review faster before quizzes or assignments.
Prepare with structure
Keep practice resources organized while learning the official course content.
Available Notes Le Lo material
Python for Data Science Handwritten Notes + Full Codes + 5 Assignments
₹299Carefully crafted handwritten Python for Data Science NPTEL notes taught by Prof. Ragunathan Rengasamy. Contains 4 weeks of notes + full codes (Jupyter Notebook file) + 5 assignment PDFs : 2026 Spring, 2025...
View study materialFrequently asked questions
Is this the official SWAYAM/NPTEL course page?
No. This is a Notes Le Lo preparation page. Use the official SWAYAM/NPTEL links above for enrollment, exam registration, deadlines, and certificate information.
Who teaches this NPTEL course?
The NPTEL archive lists Python for Data Science from IIT Madras with Prof. Ragunathan Rengasamy.
What does Notes Le Lo provide for this course?
Notes Le Lo provides independent study material such as assignment-oriented practice resources, notes, previous-paper material, or course-wise preparation support where available.
Can these materials replace official lectures?
No. They should support your preparation, but students should still watch the official lectures, read official instructions, and practice the concepts themselves.