STATS 21
Python and Other Technologies for Data Science
Description: 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.
Units: 4.0
Units: 4.0
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Most Helpful Review
Winter 2022 - Miles is a great lecturer. I think the course is a jump from 20, where there was a lot of hand holding. Now it is expected you use all your resources, including the internet. Be prepared for individual learning too (not all the answers are in the notes). Miles is helpful in OH and on Campuswire too. Great class!
Winter 2022 - Miles is a great lecturer. I think the course is a jump from 20, where there was a lot of hand holding. Now it is expected you use all your resources, including the internet. Be prepared for individual learning too (not all the answers are in the notes). Miles is helpful in OH and on Campuswire too. Great class!
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