Data Analysis and Decision Making – I


Prof. Raghu Nandan Sengupta

IIT Kanpur

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SKU: IIT Kanpur Category:


This is the first part of the three part course (DADM-I, DADM-II, DADM-III) which covers Operations Research and its tools with applications. In general Decision Analysis and Decision Making (DADM) covers three main areas which are: Multivariate Statistical Analysis with its applications, Other Decision Making Models like DEA, AHP, ANP, TOPSIS, etc., and Operations Research and its tools with applications. These three part DADM course will be more practical and application oriented rather than theoretical in nature.


Masters in Business Administration, Masters in Economics, Masters in Statistics/Mathematics, Masters in Industrial Engineering, Masters in Operations Research/Operations Management, PhD in related fields as mentioned above


Probability & Statistics, Operations Research


Manufacturing industry, chemical industry, steel industry, cement industry, etc.


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Prof. Raghu Nandan Sengupta completed his bachelors in engineering in Mechanical Engineering from Birla Institute of Technology Mesra, Ranchi INDIA and his FPM (PhD) from Indian Institute of Management Calcutta, INDIA with specialization in Operations Management. His research interests are in Sequential Analysis, Statistical & Mathematical Reliability, Optimization and its use in Financial Optimization. His research work has been published in journals like Metrika, European Journal of Operational Research, Sequential Analysis, Computational Statistics & Data Analysis, Communications in Statistics: Simulation & Computation, Quantitative Finance, etc. At Indian Institute of Technology Kanpur, INDIA he is a Professor in the Industrial & Management Engineering department and teaches courses like Probability & Statistics, Stochastic Processes & their Applications, Management Decision Analysis, Financial Risk Management, etc. He is also the recipient of IUSSTF Fellowship 2008 and visited Operations Research & Financial Engineering department at Princeton University, USA, ERASMUS MUNDUS Fellowship 2011 to Warsaw University, POLAND, EU-NAMASTE Fellowship 2015 to IST, University of Lisboa, PORTUGAL, DAAD Fellowship 2015 to TU Dresden, GERMANY.

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Total hours


Certification Process

1. Join the course
Learners may pay the applicable fees and enrol to a course on offer in the portal and get access to all of its contents including assignments. Validity of enrolment, which includes access to the videos and other learning material and attempting the assignments, will be mentioned on the course. Learner has to complete the assignments and get the minimum required marks to be eligible for the certification exam within this period.

COURSE ENROLMENT FEE: The Fee for Enrolment is Rs. 3000 + GST

2. Watch Videos+Submit Assignments
After enrolling, learners can watch lectures and learn and follow it up with attempting/answering the assignments given.

3. Get qualified to register for exams
A learner can earn a certificate in the self paced course only by appearing for the online remote proctored exam and to register for this, the learner should get minimum required marks in the assignments as given below:

Assignment score = Score more than 50% in at least 9/12 assignments.
Exam score = 50% of the proctored certification exam score out of 100
Only the e-certificate will be made available. Hard copies will not be dispatched.”

4. Register for exams
The certification exam is conducted online with remote proctoring. Once a learner has become eligible to register for the certification exam, they can choose a slot convenient to them from what is available and pay the exam fee. Schedule of available slot dates/timings for these remote-proctored online examinations will be published and made available to the learners.

EXAM FEE: The remote proctoring exam is optional for a fee of Rs.1500 + GST. An additional fee of Rs.1500 will apply for a non-standard time slot.

5. Results and Certification
After the exam, based on the certification criteria of the course, results will be declared and learners will be notified of the same. A link to download the e-certificate will be shared with learners who pass the certification exam.


Course Details

Week 1:  Introduction to Multivariate Analysis
Week 2:  Joint and marginal Distribution
Week 3:  Multinomial, Multivariate Normal, Multivariate t, Wishart and other Distributions
Week 4:  Multivariate Extreme Valued Distributions
Week 5:  Copula Method
Week 6:  Multiple Linear Regression, Multiple Non-Linear Regression, etc.
Week 7:  Factor Analysis
Week 8:  MANOVA, MANCOVA, etc.
Week 9:  Conjoint Analysis
Week 10:  Cluster Analysis
Week 11:  Multiple Discriminant Analysis
Week 12:  Multidimensional Scaling, Structural Equation Modeling

Books and References

1) Agresti, A. (2007). An Introduction to Categorical Data Analysis, Wiley, ISBN: 9780471226185.
2) Anderson, T. W. (2003). An Introduction to Multivariate Statistical Analysis, John Wiley & Sons, ISBN: 9780471360919.
3) Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling, Sociological Methods & Research, 16, 78-117.
4) Bollen, Kenneth A. (1989). Structural Equations with Latent Variables, Wiley, ISBN: 978-0-471-01171-2.
5) Chatfield, C. and Collins, A. J. (1980). Introduction to Multivariate Analysis, Chapman & Hall, ISBN: 978-0-412-16030-1.
6) Duran, B. S. and Odell, P. L. (1974). Cluster Analysis: A Survey, Springer-Verlag, New York, ISBN 978-3-642-46309-9.
7) Gnanadesikan, R. (2011). Methods for Statistical Data Analysis of Multivariate Observations, John Wiley & Sons, ISBN: 0471161195.
8) Härdle, W. K. and Simar, L. (2007). Applied Multivariate Statistical Analysis, Springer-Verlag, ISBN: 9783540722434.
9) Johnson, R. A. and Wichern, D. W. (2002). Applied Multivariate Statistical Analysis, Pearson Education, ISBN: 8178086867.
10) Kotz, S. and Nadarajah, S. (2004). Multivariate Distributions and Their Applications, Cambridge University Press, ISBN: 0521826543.
11) Seber, G. A. F. (2004). Multivariate Observations, John Wiley & Sons, ISBN: 9780471691211


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