During the TeenTechSF COVID-19 Data Analysis Workshop, you will develop a database using Python to analyze open source COVID-19 data from Johns Hopkins University and other public sources to understand the impact of exponential growth, compare differences between regions, and examine effects of efforts to control spread.
COVID-19 data is collected by various research organizations for daily analysis in real time. Anyone can access this open source data and use data science tools to reach his/her own conclusions. In this workshop, we will use online Jupyter notebooks to load the COVID-19 data and use pandas, matplotlib and plotly to create tables and graphs to find out what the data is telling us. How do we model exponential growth? How do different countries compare? Is the pandemic slowing down? How did shelter in place help? Come join us to find out about useful data science tools and do some Python coding!
TeenTechSF’s mission is to empower the next generation of tech innovators and civic entrepreneurs through equal access to tech for all teens because diversity fuels innovation. Run by and for teens, all our events are free.
If you’d like to support TeenTechSF’s mission, donate $5 or more to help us continue offering free events. If you donate $25 or more, we’ll send you a free TeenTechSF t-shirt to say thank you!
If you are 13-18 yrs old and would like to join the TeenTechSF leadership team to organize tech conferences, beginner-friendly hackathons, and lead STEM workshops, please contact us at [email protected]!