Day 1 (July 12)

• Welcome and Introductions

• Course Overview

• Foundations of Data Science

Day 2 (July 15)

• Opening Keynote

• Introduction to Theme:  Mosquitoes, Climate, and Health

• Cultural Aspects of Data Collection and Use

• Programming and Tools for Data Science

Day 3 (July 16)

• Overview of Data Sources

• Data Management and Processing

• Understanding Distributions, Statistics, and Hypothesis Testing

Day 4 (July 17)

• Data Exploration and Visualization

• Analytics and Big Data in Healthcare

• Introduction to Machine Learning

Day 5 (July 18)

• Group Presentations

• Special Topics

Day 6 (July 19)

• Career Spotlight

• Future Opportunities

• Course Evaluation