Course Name: Marketing Research and Analysis - II

Course abstract

Marketing research and Analysis-II (Application oriented) is an extension of the course marketing research and analysis. In this course the emphasis has been laid on the practical side of research and data analysis. It is intended to give a step by step approach for researchers who are involved in data analysis for their thesis and publication work. Industry practitioners can have a real time feel of the data analysis process. It describes the tools covered under multivariate data analysis techniques which students and practitioners find slightly confusing and thus, this course would answer their queries and help them progress in their respective fields of research. It uses research tools like univariate tests, deep analysis of various regression analysis techniques, factor and cluster analysis, discriminant analysis and SEM in details etc. alongwith non-parametric techniques also. SPSS and AMOS software has been used and explained for data analysis. Most importantly interpreting the data and finally writing for a research work has been explained for all the techniques.


Course Instructor

Media Object

Prof. J. K. Nayak

Dr. J.K.Nayak is a faculty in the Department of Management Studies at IIT Roorkee. He is a Civil engineer, MBA and PhD from VGSOM, IIT Kharagpur. Currently he teaches marketing research at IITRoorkee. He has completed 9 short term courses on Data analysis and a QIP on the same in the last 6 years itself. His first NPTEL Video course on marketing research and analysis that has been quite popular and thus being rerun for the second time. He has delivered extensive lectures on the same subject at places like IIM Sirmaur and Symbiosis, Pune. Apart from these Dr. Nayak has published almost 30 international publications in journals with reputed publishers such as Elsevier, Emerald, Sage, Springer etc. Recently he has published a book with Cengage publications on Retail management. He is a reviewer for various international journals such as Journal of retailing and consumer services and tourism management perspectives etc. He is also a member of bodies such as Ministry of Home affairs, India and on the board of private limited companies such as SRKay consulting. He has been involved in the startup ecosystem as a mentor at IIT Roorkee and IIM -Ahmedabad.
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Teaching Assistant(s)

Preeti Narwal

PhD Management

PRAMOD SHARMA

Ph.D. Management

Shivam Rai

Ph.D., Management

 Course Duration : Jan-Apr 2019

  View Course

 Syllabus

 Enrollment : 15-Nov-2018 to 28-Jan-2019

 Exam registration : 28-Jan-2019 to 19-Apr-2019

 Exam Date : 28-Apr-2019, 28-Apr-2019

Enrolled

1549

Registered

229

Certificate Eligible

181

Certified Category Count

Gold

4

Silver

26

Elite

66

Successfully completed

85

Participation

26

Success

Elite

Silver

Gold





Legend

>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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
Marketing Research and Analysis - II - Toppers list
Top 1 % of Certified Candidates

M.S.RAMARATNAM 92%

SCSVMV UNIVERSITY

DR. UROOJ AHMAD SIDDIQUI 90%

SCHOOL OF MANAGEMENT SCIENCES, LUCKNOW

ARUNA A. R 90%

ST. PETERS INSTITUTE OF HIGHER EDUCATION AND RESEARCH

DALY PAULOSE 90%

ST TERRESAS COLLEGE


Top 2 % of Certified Candidates

Top 5 % of Certified Candidates

SOUMYARANJAN NAYAK 89%

UTKAL UNIVERSITY

MD JAFFAR MOLLAH 85%

UNIVERSITY OF MADRAS

BISWAJIT ROY 85%

FUTURE INSTITUTE OF ENGINEERING AND MANAGEMENT

DR KIRAN RAVEENDRAN 85%

CHINMAYA INSTITUTE OF TECHNOLOGY

SHIPRA MATHUR 85%

DYAL SINGH COLLEGE

Enrollment Statistics

Total Enrollment: 1549

Registration Statistics

Total Registration : 229

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.