Data science has revolutionized the way our world works and how we understand it. Technology enables us to ask more questions of more data, but how do we use these tools effectively and ethically? This course will introduce students to computer algorithms and the diversity of models they can generate, each with pros and cons. Students will use datasets from the natural and social sciences to answer real-world questions, pursuing questions and data relevant to their own lives. They will apply different facets of machine learning through R programming exercises deeply integrated into the course. By the end of the course, students will have developed a technical skill set that allows them to investigate any given dataset with strong coding abilities and a scientific approach.
Session One
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Session Two
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Grade(s)
9-11
at the time of application
Scheduled Class Time*
08:00 AM - 11:00 AM (PDT)
Session One
04:00 PM - 07:00 PM (PDT)
Session Two
*The course will meet for two hours daily (Monday–Friday) for a live online class during this window of time. The third hour is used for online office hours. Students will be admitted to and attend just one course section and time. The exact course time and office hour schedule will be set closer to the start of the program. In addition to the live meeting times, students complete out-of-class learning assignments such as assigned readings, group work, pre-recorded online lectures, and more.
Prerequisite(s)
Exposure to a computer programming language and working knowledge of statistics.