Practitioners Course In Descriptive,Predictive And Prescriptive Analytics

By Prof. Deepu Philip, Prof. Amandeep Singh Oberoi   |   IIT Kanpur
Learners enrolled: 1389
Data analytics is a demanding field and industry is looking for potential employees who are having a practitioners approach to data analytics. This course is aimed at providing exposure to various tools and techniques along with relevant exposure to appropriate problems so that the know-how and do-how aspect of analytics, which is required by industry can be fulfilled. The course also aims at introducing various applications with the involvement of real-life practitioners so that appropriate exposure to audience who intend to build a career in this area is possible.

INTENDED AUDIENCE: Students of all Engineering and Science disciplines.

PREREQUISITES:          The student should have completed fivesemesters of UG Engineering or Science program.

INDUSTRY SUPPORT:   Analytics companies – Mu Sigma, Cisco, EXL analytics, KPMG, Ernst & Young, etc. Financial companies - CapitalOne, SBI Cap, ICICI, Amex, etc. Banking sector – SBI, UBI, Reserve Bank, HDFC, HSBC, Canara Bank, Yes Bank, etc.
Course Status : Completed
Course Type : Elective
Duration : 8 weeks
Start Date : 26 Aug 2019
End Date : 18 Oct 2019
Exam Date : 16 Nov 2019 IST
Category :
  • Management Studies
Credit Points : 2
Level : Postgraduate

Page Visits

Course layout

  • Introduction to analytics
  • Differentiating descriptive, predictive, and prescriptive analytics, data mining vs data analytics
  • Industrial problem solving process
  • Decision needs and analytics, stakeholders and analytics, SWOT analysis
  • Model and modeling process, modeling pitfalls, good modelers, decision models and business expectations, 
  • Different types of models – overview of context diagrams, mathematical models, network models, control systems models, workflow models, capability models
  • Data and its types, phases of data analysis, hypothesis and data
  • Scales, relations, similarity and dissimilarity measures, sampling process, types of sampling, sampling strategies, error mitigation
  • Visualization of numeric data, visualization of non-numeric data, tools available for visualizations
  • Hypothesis testing, pairwise comparisons, t-test, ANOVA, Wilcoxon signed-rank test, Kruskal-Wallis test, A/B testing
  • Data infrastructure, analytics and BI, data sources, data warehouse, data stewardship, meta data management
  • Data and forecasting, super-forecasting, S-curve (lifecycle), moving average, exponential smoothing, error in forecasting
  • Linear correlation, correlation and causality, spearman’s rank correlation, Linear regression, logistic regression, robust regression
  • Hierarchical clustering (Euclidean & Manhattan), k-means clustering,Nearest neighbor, decision trees
  • Basics, customer lifetime value, customer probability model,Net promoter score, survival analysis
  • Product lifecycle analysis, Ansoff’s matrix, competitive map, Fundamentals of simulation, simulation types, Monte-Carlo simulation

Books and references

•    Wu, J., and Coggeshall, S., 2012. Foundations of Predictive Analytics. CRC Press.
•    Runkler, T.A.2013. Data Analytics: models and algorithms for Intelligent Data Analysis.Springer Vieweg.
•    Ohri, A, 2013. R for Business Analytics.Springer.
•    Provost, F., and Fawcett, T., Data Science for Business, O’Reilly

Instructor bio

Prof. Deepu Philip is a faculty of Industrial & Management Engg. Department and Design Programme of IIT Kanpur. He works in the area of Production and Operations, Systems Simulation, Product Life Cycle Management, Unmanned Aerial Systems, and Systems Engineering. He holds bachelor degree in Industrial Engineering with his doctorate in Industrial & Management Engineering from MSU Bozeman. He has both academic and industrial experience with leading organizations of the world. He has experience in designing and implementing complex system of systems in different fields including defense, aviation, fertilizer, strategic chemical plants, transportation, banking, automation, health care, energy, and communication.

Dr. Amandeep Singh is working as Assistant Professor in the Department of Industrial and Production Engineering Department, National Institute of Technology, Jalandhar, India. He holds PhD degree from Indian Institute of Technology Kanpur, India, and a bachelor degree in Production Engineering. Dr. Singh has over eight years of industrial and academic experience. His research interests are Sustainable Manufacturing Processes and Systems, Simulation of Manufacturing Systems, Product Design and Manufacturing, Applied Ergonomics and Engineering Metallurgy. He has traveled in countries like US, Canada, and Australia to present his research in various international conferences organized by reputed bodies like CIRP and IEOM. His research is also published in various international refereed journals.

Mr. Sanjeev Newar is the CEO of 4Front Analytics and is a graduate from IIT Guwhati and IIM Calcutta. He works in the field of analytics, especially on financial and risk analytics. The solutions developed by his organization were listed in the top 10 solutions of the CIO review magazine, and the only solution from India to make into the list. His expertise in the area of banking and finance sector, analytics, fraud detection, and Anti Money Laundering systems will help in providing a practitioners flavor to the course.

Course certificate

  • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centers.
  • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
  • Date and Time of Exams: 16th November 2019, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
  • Registration url: Announcements will be made when the registration form is open for registrations.
  • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
  • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

  • Average assignment score = 25% of average of best 6 assignments out of the total 8 assignments given in the course. (use as per duration of the course)
  • Exam score = 75% of the proctored certification exam score out of 100
  • Final score = Average assignment score + Exam score

  • If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
  • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kanpur. It will be e-verifiable at nptel.ac.in/noc.
  • Only the e-certificate will be made available. Hard copies are being discontinued from July 2019 semester and will not be dispatched.

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