| 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 | 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) |
| 2024 | AST405: Lifetime Data Analysis (Course site: https://ast405.netlify.app) |
| 2023 | AST403: Multivariate Statistics II |
| 2023, 2022 | AST406: Research Methodology and Social Statistics |
| 2023, 2022 | AST332: Statistical Computing VIII |
Teaching
I teach undergraduate courses in the Applied Statistics and Data Science and Psychology programs at the University of Dhaka. In Applied Statistics and Data Science, my portfolio includes Lifetime Data Analysis, R for Data Science, and Python for Data Science. In the Psychology program, I teach Data Management and Analysis, focusing on data analysis and interpretation using SPSS.
Below are brief descriptions of the courses I currently teach.
R for Data Science (AST230)

This course introduces the R language for statistical computing and graphics. Students learn data manipulation, basic statistical analyses, and visualization with R.
Session 2024-25 – Began on August 17, 2025
Session 2023-24 –Conducted from September 2024 to March 2025
Python for Data Science (CSE331)

This course offers a gentle introduction to Python for data analysis and analytics. Topics include core Python, data handling, and practical use of open-source libraries.
Session 2024-25 – Began on August 18, 2025
Lifetime Data Analysis I (AST305)

This course covers methods for survival and event-time data. Topics include lifetime distributions, nonparametric estimators, parametric models and estimation, accelerated failure time models, and proportional hazards models.
Session 2024-25 – Began on August 17, 2025
Session 2023-24 – Conducted from September 2024 to March 2025
Data Management and Analysis (PSY206)

This course builds skills for analyzing quantitative and qualitative data in psychology. It focuses exclusively on learning SPSS for data entry, import, management, visualization, and basic statistical analysis, with emphasis on interpreting results. The course also provides a brief overview of qualitative tools such as Nvivo, ATLAS.ti, and MAXQDA.
Session 2024-25 – Began on September 14, 2025