Program Curriculum
This online scholarship program is divided into two parts of 10 weeks each. The first part, comprising Courses 1 through 5, deals with the basic notions of computing with data followed by techniques and tools for collection, curation, collation, clustering, and classification that lead to solutions to problems in a given domain. Learners are also exposed to important approaches to analytics using statistical and machine learning algorithms. Courses in Part 1 include:
- Data Science for Problem Solving
- Data Management – Techniques & Tools
- Data Analytics – Techniques & Tools
- Geospatial & Time-Series Analytics
- Data Visualization & Interpretation
The second part, comprising Courses 6 through 9, deals with the issues, approaches, case studies, and hands-on projects in the climate and health sectors. Course 6 will bridge the two segments, while Courses 7 and 8 will enable learners to scientifically analyze how Climate change affects the social and environmental determinants of health – clean air, safe drinking water, sufficient food and secure shelter. Course 9 explores the intersection of climate & health, issues of data governance and ethics, and will bring out how data science can help in estimating, quantifying, and eventually mitigating threats. Courses in Part 2 include:
- Participatory Data Science
- Data Science in Climate Change
- Data Science in Healthcare
- Interplay between Climate Change and Health