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.
CORE/ELECTIVE: It is an elective course
UG/PG: It is for UG students suiting for placements, and all levels of PG
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.
1132 students have enrolled already!!
ABOUT THE INSTRUCTOR:
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 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
• 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
CERTIFICATION EXAM :
The exam is optional for a fee.
Date and Time of Exams: April 28 (Saturday) and April 29 (Sunday) : Afternoon session: 2pm to 5pm
Exam for this course will be available in one session on both 28 and 29 April.
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.
CERTIFICATION:
Final score will be calculated as : 25% assignment score + 75% final exam score
25% assignment score is calculated as 25% of average of Best 6 out of 8 assignments
E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. 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.
