| Course Title | Data Science for Biologists (DSB) |
|---|---|
| Institution | Center for Bioinformatics Learning Advancement and Systematic Training (cBLAST), University of Dhaka |
| Course Level | Graduate (Master's/PhD level) |
| Course Duration | 12 weeks |
| Lead Organizer & Instructor | Md. Jubayer Hossain |
| Credits equivalent | 3 |
| Prerequisites | Basic biology, molecular biology, and introductory statistics knowledge. Some familiarity with coding (preferably R or Python) is recommended but not mandatory. |
The Data Science for Biologists course provides a practical, hands-on approach to analyzing large-scale biological datasets using Python. It addresses the growing demand for data science skills in biology, driven by advances in high-throughput technologies and the availability of omics data. The course takes a step-by-step approach, beginning with Python programming basics and progressing through data preprocessing, visualization, and machine learning, all framed within real-world biological applications.
By the end of this course, participants will:
- Understand the role of data science in modern biological research.
- Develop computational skills in managing biological datasets.
- Apply statistical and machine learning techniques to biological data analysis.
- Gain hands-on experience with bioinformatics tools and techniques for analyzing omics data.
- Learn how to visualize and communicate biological data insights.