Course abstract
In this course we shall study Non-parameteric statistical inference. This is different from parametric Statistical Inference as here the underlying distribution is assumed to be unknown. Also, these work when the population is not Normally distributed. It has major applications in many practical situations. Also, is used in Data Science and Machine Learning.
Course Instructor
Prof.Niladri Chatterjee
Prof. Niladri Chatterjee is a Professor in Department of Mathematics, IIT Delhi. He is also the Chair Professor in Artificial Intelligence. He has more than 25 years of teaching experience in various subjects of Statistics and Computer Science. He is also the coordinator of IIT PAL Channel of Mathematics.More info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Sep-Oct 2020
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Enrollment : 20-May-2020 to 21-Sep-2020
Exam registration : 14-Sep-2020 to 02-Nov-2020
Exam Date : 20-Dec-2020
Enrolled
1351
Registered
35
Certificate Eligible
6
Certified Category Count
Gold
0
Silver
0
Elite
1
Successfully completed
5
Participation
27
Success
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Category : Successfully Completed
Elite
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Category : Elite
Silver
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Category : Silver
Gold
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Category : Gold
Legend
AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
Final Score Calculation Logic
- Assignment Score = Average of best 3 out of 4 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Non-parametric Statistical Inference - Toppers list
Enrollment Statistics
Total Enrollment: 1351
Registration Statistics
Total Registration : 35
Assignment Statistics
Assignment
Exam score
Final score
Exam score
Final score