Course Name: Business Analytics & Data Mining Modeling Using R Part II

Course abstract

Objective of this course is to impart knowledge on use of data mining techniques for deriving business intelligence to achieve organizational goals. Use of R (statistical computing software) to build, assess, and compare models based on real datasets and cases with an easy-to-follow learning curve.


Course Instructor

Media Object

Prof. Gaurav Dixit

Dr. Gaurav Dixit is an Assistant Professor in the Department of Management Studies at the Indian Institute of Technology Roorkee. He earned his doctoral degree from the Indian Institute of Management Indore and an engineering degree from Indian Institute of Technology (BHU) Varanasi. Previously, he worked in Hewlett-Packard (HP) as software engineer, and Sharda Group of Institutions as project manager on deputation. Gaurav’s research focuses on information technology (IT) strategy, electronic commerce, electronic waste, data mining, and big data analytics and provides insights on business and social value of IT. His research has appeared in quality journals & conferences, including Resources, Conservation and Recycling, Journal of Global Information Technology Management, Sustainable Production and Consumption, Journal of Information Technology Management, DIGITS conference, India Finance Conference, Indian Academy of Management conference, and Academy of Management conference.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jul-Aug 2021

  View Course

 Syllabus

 Enrollment : 20-May-2021 to 02-Aug-2021

 Exam registration : 17-Jun-2021 to 20-Aug-2021

 Exam Date : 26-Sep-2021

Enrolled

3462

Registered

215

Certificate Eligible

106

Certified Category Count

Gold

3

Silver

22

Elite

48

Successfully completed

33

Participation

81

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 3 out of 4 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
    NoteWe have taken best assignment score from both July 2020,jan2021 and July 2021 course
Business Analytics & Data Mining Modeling Using R Part II - Toppers list
Top 1 % of Certified Candidates

AMIT BOSE 94%


Top 2 % of Certified Candidates

RITU SINGH 93%

J.K. Business School


Top 5 % of Certified Candidates

AMOGH GYANESHWAR 90%

VIT UNIVERSITY-VELLORE

SWAPNA SEN 88%

J K Business School

SUPRIYA 83%

JK Business School

JEBA EMILYN J 83%

SONA COLLEGE OF TECHNOLOGY

Enrollment Statistics

Total Enrollment: 3462

Registration Statistics

Total Registration : 215

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.