Probability for Data Science
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What you learn in Probability for Data Science ?
About this Course
The Probability for Data Science course begins with introducing you to different concepts in probability. It then continues with inculcating in you the skills to work with marginal probability to solve problems that are events irrespective of the outcome of another value and the Bayes Theorem that deals with the probability of occurrence of events based on the occurrence of other events. You can refer to the attached study materials at any point after enrolling in the course and take up the quiz at the end to test your knowledge and understand your gains.
After completing this free, self-paced, beginner's guide to Probability for Data Science, you can register for top-rated Data Science Courses and embark on your Data Science career with a professional Post Graduate certificate and learn various concepts with millions of aspirants across the globe!
Course Outline
This section includes answers to questions like what is probability? Why is there a need to learn probability? What are the rules of probability? You shall look at the application of probability later in this section.
You will learn about marginal probability and understand its features. The section also solves a problem when the condition is a margin to help you understand the concept better.
The section begins with explaining what Bayes theorem is and then continues with helping you understand the concept with addition and multiplication rules. You will then work with a problem statement and derive a solution to it to understand the concept better.
Our course instructor
Dr. P K Viswanathan
Professor, Analytics & Operations
Dr. P K Viswanathan, currently serves as a professor of analytics at Great Lakes Institute of Management. He teaches subjects such as business statistics, operations research, business analytics, predictive analytics, ML analytics, spreadsheet modeling and others. In the industrial tenure spanning over 15 years, he has held senior management positions in Ballarpur Industries (BILT) of the Thapar Group and the JK Industries of the JK Organisation. Apart from executing corporate consultancy assignments, Dr. PK Viswanathan has also designed and conducted training programs for many leading organizations in India. He has degrees in MSc (Madras), MBA (FMS, Delhi), MS (Manitoba, Canada), PHD (Madras).
Noteworthy achievements:
- Ranked 12th in the "20 Most Prominent Analytics & Data Science Academicians In India: 2018".
- Current Academic Position: Professor of Analytics, Great Lakes Institute of Management.
- Prominent Credentials: He has authored a total of four books, three of which are on Business Statistics and one on Marketing Research published by the British Open University Business School, UK.
- Research Interest: Analytics, ML, AI.
- Patents: He has original research publications exclusively on analytics where he has developed modeling and demonstrated their decision support capabilities. These are: Modelling Credit Default in Microfinance — An Indian Case Study, PK Viswanathan, SK Shanthi, Modelling Asset Allocation and Liability Composition for Indian Banks.
- Teaching Experience: He has been teaching analytics for more than two decades but has been into active and intense teaching since analytics started witnessing a meteoric growth with the advent of R and Python.
- Ph.D. in the application of Operations Research from Madras University.
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1.5 Hours
of self-paced video lectures
