Course Name: Descriptive Statistics with R Software

Course abstract

Any data analysis is incomplete without statistics. After getting the data, any statistical analysis starts with descriptive statistics which aims to extract the information hidden inside the data. The tools of descriptive statistics are based on mathematical and statistical functions which are to be evaluated using the software. The statistical software are paid as well as free. Most of the statistical software are paid software. A popular free statistical software is R. What are the basic tools of descriptive statistics and how to use the R software for descriptive statistical analysis is the objective of the course to be taught


Course Instructor

Media Object

Prof.Shalabh

Dr. Shalabh is a Professor of Statistics at IIT Kanpur. His research areas of interest are linear models, regression analysis and econometrics. He has more than 23 years of experience in teaching and research. He has developed several web based and MOOC courses in NPTELincluding on regression analysis and has conducted several workshops on statistics for teachers, researchers and practitioners. He has received several national and international awards and fellowships. He has authored more than 75 research papers in national and international journals. He has written four books and one of the book on linear models is co- authored with Prof. C.R. Rao.
More info

Teaching Assistant(s)

Prashant Jha

P.hD

 Course Duration : Feb-Apr 2020
  View Course
 Enrollment : 18-Nov-2019 to 24-Feb-2020
 Exam registration : 16-Dec-2019 to 20-Mar-2020
 Exam Date : 25-Apr-2020

Enrolled

4069

Registered

199

Certificate Eligible

161

Certified Category Count

Gold

31

Silver

70

Elite

45

Successfully completed

15

Participation

10

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED 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 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Descriptive Statistics with R Software - Toppers list
Top 1 % of Certified Candidates

THAKARE SARIKA YOGESH 97%

INDIRA COLLEGE OF COMMERCE AND SCIENCE

SIDDHARTHA SAHA 96%

UNIVERSITY OF KALYANI

PRANJAL PANDEY 96%

BANARAS HINDU UNIVERSITY

ARINDAM CHATTERJEE 96%

MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY, WEST BENGAL


Top 2 % of Certified Candidates

Top 5 % of Certified Candidates

BABU D 94%

THANTHAI PERIYAR GOVERNMENT INSTITUTE OF TECHNOLOGY

RAMESHKUMAR M 94%

P A COLLEGE OF ENGINEERING AND TECHNOLOGY

AMRITA TIWARI 93%

BANARAS HINDU UNIVERSITY

KULDEEP RAJPOOT 93%

BANARAS HINDU UNIVERSITY

Enrollment Statistics

Total Enrollment: 4069

Registration Statistics

Total Registration : 624

Assignment Statistics



Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.