In MAT381E: Introduction to Data Science course, students, as a group of 2-3, are expected to develop a data science project motivated by one of the topics related to, but not limited to:
- Animals,
- Children,
- Clean energy,
- Clean water,
- Climate,
- Education,
- Food security,
- Gender equality,
- Good health and well-being,
- Hunger,
- Poverty,
- Sustainable & accessible cities and communities,
- Responsible consumption & production,
- Reduced inequalities & refugees,
- Peace & justice & human rights, and
- People with disabilities.
Some of these topics are also within the scope of sustainable development goals of United Nations for a better future for our world:
The main aim of developing a project is to find an open-source data related to the topics mentioned above and then to use basic data science tools (data importing, cleaning, re-shaping, exploring, and visualization techniques) to touch one of societal problems in our world and let their voice be heard.
Here are the teams and their project links: