Course Name: Marketing Analytics

Course abstract

The students of this course should have already attended Marketing Management and Introduction to Business Analytics. Therefore we expect them to know basics of marketing and business analytics tools. In this course we will combine various concepts of marketing and business analytics in storytelling and problem solving. Real life marketing problems are often solved through a sequence of quantitative approaches. Identifying that sequence in the context of various marketing problems is important. This course will help the students in building the same. Learning Objectives: We expect that the students of the course will be able to do the following at the end of the course: 1. Identify a marketing problem as a sequence of small questions 2. Identify the appropriate tools and datasets required to solve each small research question 3. Properly apply the various available tools and choose the best one 4. Create a marketing story out of the statistical and machine learning tools applied 5. Solve a marketing analytics project end to end Pedagogy: The pedagogy will be based on the 30 hrs video of multiple modules. Students are expected to read the material provided, and actively take part in the discussion forums. We will have hands on training in the class.


Course Instructor

Media Object

Prof. Swagato Chatterjee

Dr. Swagato Chatterjee is a researcher, consultant, teacher and academician. He has over 7 years of experience in marketing, operations and analytics. He has worked with companies like Coca Cola, Times of India, Technosoft, Mitsubishi, Nomura, Yes Bank, CSC, Ernst and Young, Genpact, NTPC, Indian Oil in various consultancy and training assignments related to analytics. He has also taught in institutes like IIT Khagarpur, Narsee Monjee Institute of Management, SPJain etc. He has published in reputed international journals including Decision Support Systems, Journal of Strategic Marketing etc. He is a BTech from IIT Kharagpur and a PhD in marketing from IIM Bangalore. Currently he is an Assistant Professor in Vinod Gupta School of Management, IIT Kharagpur in the area of marketing and analytics.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Apr 2021

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 Syllabus

 Enrollment : 18-Nov-2020 to 25-Jan-2021

 Exam registration : 15-Jan-2021 to 12-Mar-2021

 Exam Date : 25-Apr-2021

Enrolled

1860

Registered

115

Certificate Eligible

59

Certified Category Count

Gold

15

Silver

13

Elite

17

Successfully completed

14

Participation

2

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 8 out of 12 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
Marketing Analytics - Toppers list

DEBASISH BHATTACHARYYA 98%

KSHITIZ SHARMA 97%

ACHARYA BANGLORE B SCHOOL

DIVYA SINGH 96%

NATIONAL INSTITUTE OF TECHNOLOGY DURGAPUR

SHRADDHA BHATIA 95%

TATA INSTITUTE OF SOCIAL SCIENCES

ROHIT KHURANA 95%

Symbiosis Institute of Management Studies

KRISHNA ROY 95%

DR. B. C. ROY ENGINEERING COLLEGE

ARINDAM ROY 95%

B.P. PODDAR INSTITUTE OF MANAGEMENT AND TECHNOLOGY

GAURAV CHOPRA 95%

IMS UNISON UNIVERSITY

Enrollment Statistics

Total Enrollment: 1860

Registration Statistics

Total Registration : 115

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.