Introduction to Data Science
A Remixed Textbook for LIS/ICT 661 at the University of Kentucky
LIS/ICT 661 - Introduction to Data Science
Welcome to LIS/ICT 661: Introduction to Data Science. This site provides course content and activities to support your learning.
Materials on this site may be revised or expanded as the course progresses.
Course Modules
Module 1: Course Syllabus
Module 2: The New(?) and Shiny(?) Science of Data
Module 3: Research Paradigms and Reproducibility
Module 4: The Value of Open Data
Module 5: Numbers Don’t Speak for Themselves
Module 6: Unicorns, Janitors, and Rock Stars
Module 7: Subjectivity in Data Visualization
Module 8: Statistics and Scientific Racism
Module 9: Linear Regression
Module 10: Consequences of Failed Predictions
Module 11: Samples and Populations
Module 12: Confident About What?
Module 13: The Dangers of False Positives
Module 14: Small Stories vs. Big Data
Module 15: Reflecting on Data Science
Attribution
This repository is based on teaching materials originally developed by Dr. Spencer Greenhalgh, released under the Unlicense.