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How do we forecast using analytics?

Instructor:

Dr. Abhinanda Sarkar
Beginner

Level

1.5 Hrs

Learning hours

2.2K+

Learners

About this Live Session

Forecasting what is going to happen in the future is usually difficult, but often necessary. In this session, we will first take a look at how weather forecasting is done using satellite and other meteorological data. We will then look at equations that model and predict the course of epidemics, such as the one we are going through now. Lastly, we will look at financial markets and see how predictable they should be, and how predictable they are. From algorithmic trading to climate change, we will see glimpses of how data and technology are changing the art and science of forecasting.

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Our instructor

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Dr. Abhinanda Sarkar

Academic Director - Data Science & Machine Learning

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531.7K+ Learners
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17 Courses
Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

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How do we forecast using analytics?

1.5 Hrs

Learning hours

Beginner

Level

2.2K+

Learners

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