Dr. Simpkins incarnation of the UCSD COGS108 Data Science in Practice Course
Main web page is hosted here: http://casimpkinsjr.radiantdolphinpress.com/pages/cogs108_ss1_23/index.html
We will be using this as a secondary location for lectures and other files, and you will be turning in your final projects here. There are also going to be tutorials and other resources available here as well, mirrored from the main website.
Basic course overview, with additional details available on website
This course has a variety of tools and resources through which we will help you learn and improve your knowledge about this topic as well as gain practical experience. You will see an introduction below to guide you as to where to look for information. We are very excited to have you in the course, and look forward to an excellent summer session!
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Formulate a plan for and complete a data science project from start (question) to finish (communication)
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Explain and carry out descriptive, exploratory, inferential, and predictive analyses in Python
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Communicate results concisely and effectively in reports and presentations
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Identify and explain how to approach an unfamiliar data science task
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Course home page (starting point for information and the course hub: http://casimpkinsjr.radiantdolphinpress.com/pages/cogs108_ss1_23/index.html
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Course github for SS1_23: https://github.com/drsimpkins-teaching/COGS108
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Canvas: to support quizzes and class participation exercises here
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Datahub for assignments: https://datahub.ucsd.edu
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Piazza for discussion and questions: https://piazza.com/ucsd/summer2022/cogs108_s123_a00