GEOG788J
Selected Topics in Geography; Using Python for Data Science
An introduction to using Python programming language for data science tasks relevant to research and analysis for many scientific and social science domains. Focus on accomplishing data science tasks using Python libraries like Pandas and Numpy, implementing machine-learning tasks using Scikit-learn, and implementing an end-to-end automated machine learning pipeline.
Sister Courses: GEOG788A, GEOG788B, GEOG788D, GEOG788F, GEOG788I, GEOG788K, GEOG788L, GEOG788N, GEOG788P, GEOG788Q, GEOG788T, GEOG788W, GEOG788Z
Past Semesters
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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.
Average GPA of 3.95 between 16 students*
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.