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 22 years of experience in teaching and research. He has developed several web based NPTEL courses including on regression analysis and has conducted several workshops on statistics for teachers, researchers and practitioners. He has received several national and international award and fellowships. He has authored more than 70 research papers in national and international journals. He has written four books and one of the book on linear models is coauthored with Prof. C.R. Rao.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Feb-Apr 2021
  View Course
 Syllabus
 Enrollment : 18-Nov-2020 to 25-Jan-2021
 Exam registration : 15-Jan-2021 to 12-Mar-2021
 Exam Date : 24-Apr-2021

Enrolled

3475

Registered

293

Certificate Eligible

195

Certified Category Count

Gold

26

Silver

95

Elite

53

Successfully completed

21

Participation

30

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
Note:
We have taken best assignment score from both Jan 2020 and Jan2021 course
Descriptive Statistics with R Software - Toppers list
Top 1 % of Certified Candidates

JANGID KAVITA RAJENDRAPRASAD 97%

VEER NARMAD SOUTH GUJARAT UNIVERSITY

NEETI GHIYA 96%

R V COLLEGE OF ENGINEERING

RAMARCHA KUMAR 96%

GALGOTIAS UNIVERSITY SOB


Top 2 % of Certified Candidates

KARTIKEY GUPTA 95%

BANARAS HINDU UNIVERSITY


Top 5 % of Certified Candidates

SOUMYADEEP RUDRA 94%

Haldia Government College

VAGISHA 94%

RATTAN PROFESSIONAL EDUCATION COLLEGE

MEENAKSHI S 94%

PSG COLLEGE OF ARTS & SCIENCE

RAJEEV KUMAR 93%

BANARAS HINDU UNIVERSITY

ROOPAM BACHHIL 93%

Trivium Education

BHUSHAN SANJAY BANGAR 93%

SIES COLLEGE OF ARTS SCIENCE AND COMMERCE

Enrollment Statistics

Total Enrollment: 3475

Registration Statistics

Total Registration : 293

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.