Duration Day: 1

Duration Hours: 2

Time: 8:30 PM

Delivery Method: virtual

Organized By: Digital MEL hub

Facilitator: Dr. Rahmatullah Imon

Venue: Online

Course Fee: 00

About the Trainer/Resources Person

Dr. Rahmatullah Imon is a Professor Emeritus of Mathematical Sciences, Ball State University, USA. He has more than 32 years of working Experiences in Data Science, Statistics, Mathematics & Research articles as full professor position and visiting professor/scientist in different country’s University. He obtained his B.Sc. (Honors) and M.Sc. in Statistics from the University of Rajshahi and his Ph.D. in Mathematics and Statistics from the University of Birmingham, U.K. Dr. Imon began his academic career as a Lecturer at the Department of Statistics, University of Rajshahi on July 1, 1992 and worked there prior to joining the Department of Mathematical Sciences at Ball State University, USA in 2008. He was promoted to a Full Professor position in 2012. He took an early retirement from his Ball State job in December 2023. Currently he is serving as the Director of the Center for Interdisciplinary Research (CIR), and the Director of Career Center (CC) at Varendra University, Rajshahi, Bangladesh. Dr. Imon’s area of specialization is Regression Diagnostics, Robust Regression and Outlier Detection, Multivariate Analysis, Sample Reuse Methods, Time Series Analysis, Statistical Computing and Graphics, and Environmental Statistics. Dr. Imon has published several books, book chapters and over 150 research articles in refereed journals and proceedings of international conferences so far. He was a keynote, plenary and invited speaker at many national and international conferences. He has supervised more than hundred research students in various capacities. Dr. Imon served as a Distinguished Visiting Professor at the American University in Cairo in 2015. In addition to this he worked at University Putra Malaysia, University of Malaya, University Sains Malaysia, and Indian Statistical Institute Calcutta as visiting professor/scientist.

 

What will cover:

1. Data Science components

2. Descriptive and inferential statistics

3. Sampling techniques

4. Hypothesis testing (z-test, chi-square, t-test, F-test, ANOVA), p value, significant result

5. Different chart with interpretation (Bar chat, column chart, line chart, pie chart, dounat chart, table)

Link