What factors make some people live longer than others? Are more expensive restaurants really better than cheap ones? Who’s the greatest singer, athlete or actor of all time? Answering these questions involves analyzing large datasets, from sports stats to record sales to census information.
In Bootstrap:Data Science, students form their own questions about the world around them, analyze data using multiple methods, and write a research paper about their findings. This flexible and adaptable curriculum can be integrated into core subject areas by non-computer science teachers, taught as a stand-alone module in a larger computer science course, or developed into a semester-long or year-long curriculum.
What factors make some people live longer than others? Are more expensive restaurants really better than cheap ones? Who’s the greatest singer, athlete or actor of all time? Answering these questions involves analyzing large datasets, from sports stats to record sales to census information. In Bootstrap:Data Science, students form their own questions about the world around them, analyze data using multiple methods, and write a research paper about their findings. This flexible and adaptable curriculum can be integrated into core subject areas by non-computer science teachers, taught as a stand-alone module in a larger computer science course, or developed into a semester-long or year-long curriculum. Learn more about implementation options here.
Easy-to-teach programming lets students get right to the data analysis, and any class that focuses on making claims based on data will find ample opportunities for integration. Social studies, science, and business teachers can utilize this module to help students make inferences from data in their courses; Math teachers can use this module to introduce foundational concepts in statistics; CS teachers can create entire electives from the course, or integrate it into full-year offerings. The final project in Bootstrap:Data Science can even be used as the Create Task for AP CS Principles! Learn more about the tenants of the Data Science curriculum here.
Note: this workshop has additional requirements beyond the application process. If you are interested in this session, we will follow up after registration to continue these steps.