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Data Analytics
Data Analytics
  • Syllabus
  • Schedule
  • Content
  • Examples
  • Assignments
  • Resources
Examples
  • 0: Introduction to R
  • 1: Visualization I
  • 2: Visualization II
  • 3: Visualization III
  • 4: Uncertainty
  • 5: Linear Regression I
  • 6: Linear Regression II
  • 7: Linear Regression III
  • 9: Nonparametric Regression
  • 10: Bias vs. Variance
  • 11: Classification
  • 12: Text As Data
  • 13: Data Wrangling
  • 14: Geospatial with R

Text as Data

Content for Thursday, November 23, 2023
  • This class falls on Thanksgiving, so we will not use it

This class falls on Thanksgiving, so we will not use it

Last updated on October 17, 2023


SSC 442: Data Analytics (Fall Semester 2023)
Michigan State University    College of Social Science

Prof. Justin Kirkpatrick    jkirk@msu.edu

Tuesday and Thursday    1:30pm - 2:50pm
116 Natural Sciences

All content licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Content 2020-23 Ben Bushong; Justin Kirkpatrick; based on work by Andrew Heiss

This site created with the Academic theme in blogdown and Hugo.

View the source at GitHub.

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