STAT 542 (Computing for Data Science)

Spring 2025

Instructor

David Hitchcock, professor of statistics

Syllabus

TO BE POSTED LATER

Office Hours -- Spring 2024

TO BE ANNOUNCED, or please feel free to make an appointment to see me at other times.

Office: 202 LeConte College
Phone: 777-5346
E-mail: hitchcock@stat.sc.edu

Class Meeting Time

MWF 9:40 - 10:30 am, LeConte College 103

Prerequisites:

STAT 301 or STAT 509 or STAT 515.

Current Textbook:

Modern Data Science with R, 2nd edition, by Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton. CRC Press, 2021.
Online version available at: https://mdsr-book.github.io/mdsr2e/

Course Outline:

Topics covered include: Chapters 2-8, 14-16 and (time permitting) 19 of the Baumer, Kaplan, and Horton textbook. Topics covered include data visualization, the grammar of graphics, data wrangling, tidy data, iteration in R, data ethics, interactive data graphics, database querying and administration with SQL, and (time permitting) analysis of text data.

Learning Objectives: By the end of the term successful students should be able to do the following:

  • Perform basic and interactive data visualizations and graphics
  • Understand the concepts of tidy data and the grammar of graphics
  • Undertake data wrangling, database querying and database administration
  • Recognize ethical questions involved with data collection and management
  • Be able to effectively communicate in written and/or oral formats the information obtained from a data analysis

    Graded Assignments

    Two exams, plus a final exam. Regular homework assignments. Course project and class presentation.

    Lecture Slides from Class:

    Computing Tips and Examples: R

    Homework

    Homework Solutions

    Data Sets

    Information about Final Exam

    Information about Project

    Review Sheets for Exams

    Practice Problems

    Formula Sheets for Exams

    Exam Solutions

    Exams