Data Analysis and Visualization for Social Impact
Data Science
Hybrid
Start Date
May 22, 2025
Duration
4 Weeks
Apply by
May 5, 2025
No. of openings
30
Outline
- Students will analyze real-world datasets on social issues such as education, healthcare, and environmental sustainability, creating visualizations to effectively communicate key insights.
Key Learning Outcomes:
Develop the ability to understand, interpret, and analyze datasets using statistical methods and analytical tools.
Build foundational programming skills in Python or R to clean, manipulate, and visualize data efficiently.
Apply data-driven problem-solving techniques and critical thinking to address real-world challenges and make informed decisions.
Understand ethical considerations in data collection, usage, and privacy protection, promoting responsible data practices.
Learn how to communicate data insights clearly through data storytelling techniques tailored for diverse audiences.
Collaborate effectively on team-based data projects, sharing ideas, responsibilities, and building project management skills.
Explore professional growth opportunities in data science through career guidance, industry exposure, and mentorship initiatives.
