Data Analysis and Visualization for Social Impact
Data Science and Analytics
Hybrid
Start Date
June 8, 2024
Duration
4 weeks
Apply by
May 22, 2024
No. of openings
Outline
- Students will analyze real-world datasets related to social issues such as education, healthcare, or environmental sustainability, and create visualizations to communicate insights effectively.
Key Learning Outcomes:
- Data Literacy and Analysis Skills: Gain proficiency in understanding and analyzing data sets using statistical methods and tools.
- Programming and Data Manipulation Proficiency: Develop basic coding skills in languages like Python or R to manipulate, clean, and visualize data effectively.
- Problem-Solving and Critical Thinking: Apply data-driven approaches to solve real-world problems and make informed decisions.
- Software Proficiency: Gaining proficiency in using software tools such as Surveys for questionnaire creation, Excel for data management, and MATLAB for advanced data visualization, enhancing their technological skill set
- Understanding of Data Ethics and Privacy: Learn about ethical considerations in data collection, usage, and privacy protection.
- Communication and Data Storytelling: Practice conveying insights and findings from data analysis in a clear and compelling manner.
- Collaboration and Teamwork in Data Projects: Work collaboratively with peers on data projects, sharing ideas and responsibilities.
- Professional Development in Data Science: Gain exposure to the field of data science, explore career paths, and receive mentorship for future growth.
