Python and Other Technologies for Data Science

Lecture, three hours; discussion, one hour. Enforced requisite: course 20. Covers use of Python and other technologies for data analysis and data science. Focus on programming with Python and selection of its libraries: NumPy, pandas, matplotlib, and scikit-learn, for purpose of data processing, data cleaning, data analysis, and machine learning. Other technologies covered include Jupyter notebook and Git. Intended for Data Theory majors as introduction to Python language and libraries most frequently used in data science. Letter grading.

Review Summary

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Enrollment Progress

Mar 6, 3 PM PST
LEC 1: 71/70 seats taken (Full)
First passPriority passSecond pass2 days5 days8 days11 days14 days17 days20 days21 days24 days020406080

Section List

  • LEC 1

    Closed

    MWF 5pm-5:50pm

    Online - Recorded

Course

Instructor
Miles Chen
Previously taught
21S 20S

Previous Grades

Grade distributions not available.