Python for Data Science NPTEL IIT Madras Four-Week Online Course
NPTEL IIT Madras E-Certificate
Python for Data Science NPTEL IIT Madras Four-Week Online Course is a course by NPTEL IIT Madras for students in Grade 8 to 12, open to students across India. It is free to take part.
Mode
Online
Eligibility
Grade 8 to 12
Fee
Free
Duration
4 weeks
Format
Individual
Time needed
Self-paced with weekly assignments. Approximately 4 to 6 hours per week.
About this opportunity
Python for Data Science is a four-week online course offered through the NPTEL platform by IIT Madras, the National Programme on Technology Enhanced Learning.
The course covers Python programming fundamentals, data manipulation using Pandas and NumPy, data visualisation with Matplotlib, and an introduction to statistical inference and basic machine learning concepts. Taught by Prof. Ragunathan Rengasamy of IIT Madras, the course is structured as a self-paced MOOC with weekly video lectures and graded assignments.
All course content is freely accessible. Students who choose to appear for the optional proctored NPTEL certification examination pay a nominal fee of INR 1,000. Certificate holders receive NPTEL's standardised tiered scoring certificate, which is recognised by academic institutions, engineering colleges, and technology employers across India.
Eligibility
- Grade level
- Grade 8 to 12
- Age range
- 13 years and above
- Location
- Nationwide
Prerequisites
- Basic computer skills
- Interest in mathematics and data
Open to students aged 13 and above, typically from Grade 8 to 12. No prior programming knowledge is required, but basic computer skills and an interest in mathematics and data are beneficial.
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Academic details
Difficulty: Beginner
What's covered
This four-week MOOC covers Python basics, data manipulation with Pandas and NumPy, data visualisation using Matplotlib, statistical inference, and introductory machine learning concepts including classification, regression, and clustering.
Rewards and recognition
Certificate
NPTEL IIT Madras e-certificate
NPTEL standardised tiered scoring e-certificate recognised by engineering colleges, academic institutions, and technology employers across India
Recognition
National-level recognition
Skills your child builds
What your child will do
- Weekly video lectures
- Graded assignments
How to apply
- 1Visit the NPTEL official website (nptel.ac.in or swayam.gov.in) to begin.
- 2Sign up or log in using a valid email ID, such as a Google or Facebook account.
- 3Browse the available courses and select 'Python for Data Science'.
- 4Click the 'Join' button on the course page and fill in the required details.
- 5Agree to the terms and conditions, then submit your enrollment.
- 6A confirmation email will be sent to your registered email address.
- 7To receive a certificate, you must register separately for the proctored certification exam before the announced deadline and pay the examination fee.
Camp details
Trainers
Prof. Ragunathan Rengasamy, IIT Madras
Fees & financial support
Fee details
The course content is entirely free to access. An optional proctored NPTEL certification examination costs ₹1,000. This exam is not mandatory to complete the course.
Financial support
No scholarships are available for the optional certification exam fee.
Refund policy
The optional examination fee is non-refundable once paid.
Frequently asked questions
Is Python for Data Science NPTEL IIT Madras Four-Week Online Course free?
This opportunity is free to participate in.
Who can participate in Python for Data Science NPTEL IIT Madras Four-Week Online Course?
Students in Grade 8 to 12. Children aged 13 and above.
What will my child gain from Python for Data Science NPTEL IIT Madras Four-Week Online Course?
NPTEL IIT Madras e-certificate recognised nationally. Free access to all course content and video lectures. Taught by Prof. Ragunathan Rengasamy, IIT Madras faculty. Flexible self-paced learning format with weekly assignments. Develop practical skills in Python for data science. Enhance resume with IIT Madras affiliated certification.
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