Statistics Modeling for Data Science
Undergraduate course, Department of Math and Computer Science, Earlham College, 2022
This course (DS 401) is a medium level course. It considers a review of basic concepts such as: Central limit theorem, Confidence intervals, Regressions, models, and more. In addition, it provides implementation with Jupyter Notebooks and applications in different areas.
It is anticipated that you should spend on average 3 - 6 hours of work per week beyond the classroom time to be competitive in this class.
Here some extra information:
Instructor | Javier Orduz | |
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Office Location | TBD | |
Office Hours | Wednesday/Friday | 1:30-2:30 pm, or by appointment |
Find this course in Moodle.
Bibliography and references
[1] Giancoli, D. Physics. Principle with applications. Source