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WEEKEND (SAT - SUN)
Upcoming Batch Details
Date :17th May 2021-20th May 2021
Batch Type :Monday - Thursday
Research is an unavoidable aspect of engagement for academia. Statistics is often used to reinforce a research point or subject. Statistics allows a domain research to proceed to the intended conclusion with factual arguments. However, not all researchers are able to understand the role of statistics and adapt it in their research.
In this program, the Indian Statistical Institute, Pune chapter outlines the topics that help researchers get clarity on the role of statistics in research.
Who Should Enroll?
- Faculty Members
- Data Preparation
- Problem Formulations
- Probability, Random Variable, Probability Distributions, Estimation, summaries of statistics and data visualisations
- Sampling distributions and Test of Hypothesis
- Multiple Linear Regressions
- Logistic Regression
- Decision Tree
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ISI Pune will award participants a formal certificate of Statistics for Researchers after the participants pass a test conducted on the last day of the session with at least 70% score.
Awarded Jointly by The Indian Statistical Institute,
Pune and edu plus now
Course Fees : 8,000 (+GST)
- Excel functions
- Pivot tables
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About the Organization
It is a Central Government institute, devoted to research, teaching & application of not only statistics and allied sciences, but also the natural sciences, social sciences and their interface with the statistics. Founded by Professor P.C. Mahalanobis in Kolkata on 17th December, 1931, the institute gained the status of an Institution of National Importance by an act of the Indian Parliament in 1959.
ISI Pune is a unit of Indian Statistical Institute, active in Teaching, Training, Research and Consulting on application of statistics, operations research & allied science to solve problems of the industry across the spread and depth of the industries. ISI Pune bring sanctity of statistics in the mother initiatives such as TQM, TPM, Six Sigma, Quality Management, Management Systems, Business Management, Data Analytic, Data Science.