| Year | Course |
|---|---|
| 2025 | CSE331: Python for Data Science (Course site: https://cse331.netlify.app) |
| 2025-2024 | AST230: R for Data Science (Course site: https://ast230.netlify.app) |
| 2025-2024 | AST305: Lifetime Data Analysis I (Course site: https://ast305.netlify.app) |
| 2024–2022 | AST301: Design and Analysis of Experiments II (Site: https://ast301.netlify.app) |
| 2023 | AST403: Multivariate Statistics II |
| 2023, 2022 | AST406: Research Methodology and Social Statistics |
| 2023, 2022 | AST332: Statistical Computing VIII |
Teaching
I teach in the Undergraduate Program in Applied Statistics and Data Science at the Institute of Statistical Research and Training (ISRT), University of Dhaka. My current teaching portfolio includes courses on Lifetime Data Analysis, and R Programming, and Python for Data Science.
R for Data Science (AST230)
In the modern world, proficiency in software is a crucial skill. This course introduces students to R, an extremely powerful programming language for statistical computing and graphics generation. In this course, students will learn how to manipulate data, perform basic statistical analyses, and visualize results using R.
Session 2024-25 – Scheduled to begin in August 2025
Session 2023-24 –Conducted from September 2024 to March 2025
Python for Data Science (CSE331)
Python has become one of the most popular programming languages for data science due to its simplicity, versatility, and robust data analysis and machine learning capabilities. As organizations continue to digitize and generate increasingly large amounts of data, open-source tools like Python can enable data manipulation and exploration, machine learning, and statistical analysis in a scalable manner. This course provides a gentle introduction to programming in Python and its applications in data science and analytics.
Session 2024-25 – Scheduled to begin in August 2025
Lifetime Data Analysis I (AST305)
This course focuses on the analysis of survival or failure-time data, widely used in fields such as medicine, clinical trials, biology, epidemiology, engineering, finance, and social sciences. Students will explore lifetime probability distributions, non-parametric methods, parametric models and estimation, accelerated failure time models, and proportional hazard models for analyzing lifetime data.
Session 2024-25 – Scheduled to begin in August 2025
Session 2023-24 – Conducted from September 2024 to March 2025