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Data Science with Social Science data: An introduction to Pandas and StatsModels in Python

March 30 @ 2:00 pm - 4:00 pm

| Free

Modern Languages Building (MLB), Room 2001A

This workshop introduces participants to Python’s NumPy, Pandas DataFrames, Matplotlib and StatsModels using an advertising dataset. Participants will use these tools to model (OLS) associations between advertising expenditures and product sales in example data. We will start with an introductory explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the instructor will be using these tools). We will proceed with topics including: reading data files; creation, indexing and slicing of Pandas DataFrames; creation and handling of Matplotlib objects; and creation and interpretation of models using Python’s StatsModels. Although not required, we recommend that participants have a basic knowledge of Python.

Details

Date:
March 30
Time:
2:00 pm - 4:00 pm
Cost:
Free
Event Category:
Event Tags:
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Website:
http://cscar.research.umich.edu/events/category/workshops/

Organizer

CSCAR
Email:
cscar@umich.edu
Website:
cscar.research.umich.edu

Other

Prerequisite
Although not required, we recommend that participants have a basic knowledge of Python.
Class size
24
U-M Affiliated Fee
0
Register
Instructors
Marcio Duarte Albasini Mourao