IIMbx Course

Predictive Analysis

Course Length  :  1 week of pre-requisites and 6 weeks of content

Estimated Effort  :  5 – 6 hrs per week

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Dinesh Kumar

Professor
Decision Sciences & Information Systems
Indian Institute of Management Bangalore (IIMB)

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Course Overview

Decision makers often struggle with questions such as: What should be the right price for a product? Which customer is likely to default in his/her loan repayment? Which products should be recommended to an existing customer? Finding right answers to these questions can be challenging yet rewarding.

Predictive analytics is emerging as a competitive strategy across many business sectors and can set apart high performing companies. It aims to predict the probability of the occurrence of a future event such as customer churn, loan defaults, and stock market fluctuations – leading to effective business management.

Models such as multiple linear regression, logistic regression, auto-regressive integrated moving average (ARIMA), decision trees, and neural networks are frequently used in solving predictive analytics problems. Regression models help us understand the relationships among these variables and how their relationships can be exploited to make decisions.

This course is suitable for students/practitioners interested in improving their knowledge in the field of predictive analytics. The course will also prepare the learner for a career in the field of data analytics. If you are in the quest for the right competitive strategy to make companies successful, then join us to master the tools of predictive analytics.

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Course Catalog

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Week 1: Introduction to course
  • Introduction
  • Entrepreneurship Demo
Week 2: R Tutorial - I
  • Installing R & RStudio
  • Basics of RStudio
Week 3: - R Tutorial - II
  • Writing programs in RStudio & HR Demo
Week 4: - Standard Variables - I
  • Uniform Distribution
  • Binomial Distribution
  • Poisson Distribution
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Week 5: Standard Variables - II
  • Exponential Distribution
Week 6: Simulation
  • Monte Carlo Simulation
Week 7: Normal Distribution
  • Properties
  • Basic Application

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Learn About Your Course

Target Audience

Students pursuing post-graduate program, Researchers, Academicians and Researchers

Learning Outcome

Understand how to use predictive analytics tools to analyze real-life business problems.

Demonstrate case-based practical problems using predictive analytics techniques to interpret model outputs.

Learn regression, logistic regression, and forecasting using software tools such as MS Excel, SPSS, and SAS.

Testimonials

This course is very good for beginners. For those who dont have statistical background, this course covers everything from scratch. I really like they in which prof. Dinesh Kumar structured the curriculum. Obviously it is impossible to cover everything in one video lesson but this course is good to start with.

(Ankita P)

Testimonials

The content is well structured and explained. Found it very useful being a beginner in this area. The practical implementation explained in the course (Apollo Hospital, L&T , Die Another Day hospitals) helped to relate to the theory. The demo of SPSS was also useful.

(Anoop Kumar Chenayil)

Testimonials

Great course! I have taken 2 courses in stats in college before but did not learn nearly as much as I did from this single course. The topics were really interesting and useful with respect to today’s job market. The subjects are practically presented with lots of examples without too much unnecessary theoretical stuff. Of course, for someone like me with a limited background in stats it was difficult to grasp a lot of the material presented,but with some additional research, mostly on Youtube, I was able to keep up with the course. I am looking forward to seeing more from Prof Kumar!

(Ivan Tuhchiev)

Testimonials

This course is really cool. Solid handful of knowledge and it’s applications. Sometimes too many immediate conclusions, and it is necessary to check different sources to make the topic clear. However this is really solid and thorough piece of course. Thanks a lot.

(Jakub S)

Testimonials

This is my maiden experience with MOOC. Predictive analysis course was highly informative and the case studies was really useful from the application point of view. Prof. Dineshs’ lectures are highly impressive. Kudo’s Prof. Looking forward to more from you.

(Nambi ST)

Get In Touch

+91 80 2699 3895

Location

IIMBx,
Indian Institute of Management,
Bannerghatta Main Rd,
Bilekahalli,
Bengaluru,
Karnataka – 560076

 

Email

iimbx.support@iimb.ac.in

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