Self Paced Courses Production and Quantitative Methods

Pre MBA StatisticsCoursera

This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various types of data and describe different operations that you can execute with each type of data and the right tools to use.

Prof. Diptesh GhoshProf. Sriram Sankaranarayanan

Description

This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various types of data and describe different operations that you can execute with each type of data and the right tools to use. The course also discusses the concepts of probability, which form the backbone of statistical analysis. In particular, the course explores how data behaves and provides insight into its analysis.

Further, it discusses how data can be sampled and the pros and cons of these methods. The course also delves deeper into the behavior of large data sets based on well-established statistical results. This also enables you to identify the pitfalls of incorrectly using statistical laws. Lastly, you will learn how to estimate population parameters based on limited data and check the correctness of hypotheses about populations from limited data.

Learning Objectives of the Course:

To explore the types of data and the basics of probability.

To describe how a relatively small sample of data can help to infer a large population.

To justify arguments about a population based on limited data.

Course Content

Week 1:Types of Data

Week 2: Probability

Week 3: Sampling

Week 4: Point and Interval Estimation

Week 5: Hypothesis Testing

This course is open to students from all disciplines holding a bachelor’s degree. A rudimentary knowledge of Mathematics would be helpful in grasping the concepts better.

Prof. Diptesh Ghosh

Diptesh Ghosh is a Professor in the Production and Quantitative Methods Area at the Indian Institute of Management Ahmedabad (IIM Ahmedabad).

He has been a member of the faculty at IIM Ahmedabad since December 2001. Prior to 2001, he was a post-doctoral researcher at the Faculty of Econometrics and Operations Research at the University of Groningen in the Netherlands, and before that, a member of the Decision Sciences faculty at the Indian Institute of Management Lucknow in India. He obtained his doctoral degree in Operations Research and Systems Analysis from the Indian Institute of Management Calcutta in India. Prior to joining the doctoral program he has worked in the production department of a global automobile manufacturer.

Diptesh’s research areas include optimization algorithms and heuristics for hard combinatorial optimization problems, especially in a network location and routing. Much of his work has been in the development of metaheuristic methods. He teaches courses on linear optimization, decision analysis, and network algorithms at IIM Ahmedabad.

Prof. Sriram Sankaranarayanan

Sriram Sankaranarayanan is an Assistant Professor at IIM Ahmedabad in the area of Production and Quantitative Methods.

Previously, he was a post-doctoral fellow at the Canada Excellence Research Chair in Data Science for Real-Time Decision-Making at Polytechnique Montréal advised by Prof. Andrea Lodi. Before that, he finished his PhD at Johns Hopkins University. He was advised on his PhD by Prof. Sauleh Siddiqui and Prof. Amitabh Basu.

Sriram's research interest lies in solving game-theoretic and optimisation problems that include integer variables. In particular, he has worked on mixed-integer linear programming, complementarity problems and mixed-integer bilevel programming. Apart from proving structural results and developing algorithms to solve these problems, he is also interested in using these methods for real-life problems which are of social interest.

He has worked on using tools from optimisation to analyze energy-market policies, with a particular interest to combat climate change.

Before joining Hopkins, he worked in Deutsche Bank for two years, creating models to backtest and to develop strategies to trade Credit Default Swaps and Swaptions.

A learning path with Online@IIMA is adaptable, individualized and multifaceted. It is designed to foster an ecosystem where the learner will be capable of connecting micro modules to the core specialization - weaving the entire experience into a thorough learning opportunity towards a productive output or building sustainable solutions.

Enroll Now
  • Skill Level Beginner
  • Language English
  • Certificate Yes
  • FeesFree
  • Start Date 02 Apr 2023
  • Duration 5 Weeks

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