Other links:

Other links:

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:

  1. Data Science for Problem Solving
  2. Data Management – Techniques & Tools
  3. Data Analytics – Techniques & Tools
  4. Geospatial & Time-Series Analytics
  5. 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:

  1. Participatory Data Science
  2. Data Science in Climate Change
  3. Data Science in Healthcare
  4. Interplay between Climate Change and Health

 

Study at Ashoka

Study at Ashoka