An introduction to tools and techniques for managing, visualizing, and making sense of data. Includes an introduction to data cleaning, basic statistics, exploratory visualization, sensemaking, and data presentation.

Announcements

  • Website has been converted to inactive mode. (some links should no longer be expected to work)
  • More recent offering can be found here.

Lectures

  • Lectures begin on Monday, January 11th, 2021
  • Last day to drop is Thursday, January 21st, 2021
  • Lectures end and last day to withdraw is Thursday, April 15th, 2021
  • D2L -> Communications -> Zoom
  • DATA 201 L01 MW 13:00 - 13:50

Labs

  • Labs will begin on Monday/Tuesday January 18th, 2021
  • D2L -> Communications -> Zoom
  • DATA 201 B01 MW 09:00 - 10:15
  • DATA 201 B02 MW 11:00 - 12:15
  • DATA 201 B03 TR 09:30 - 10:45
  • DATA 201 B04 TR 12:30 - 13:45

Office Hours

  • MW 14:00 - 14:50 or setup via email

Important Dates

  • University Closed for Family Day Monday, February 15th, 2021. (During Term Break, no office hourse)
  • University Closed for Good Friday Friday, April 2nd, 2021. (No impact on this class)
  • University Closed for Easter Monday Monday, April 5th, 2021. (No lectures/labs Mon/Tue this week)
  • Term Break (no lectures/labs): Sunday-Saturday, February 14-20th, 2021.

Textbook Resources

The due dates for the assignments/project can be found in the Assignments/Project sections of this page.

Support Materials

  • Course Information Sheet (Outline)
  • Topic 1: Course Organization
  • Topic 2: Overview
  • Topic 3: Visualization
  • Topic 4: Obtaining Data
  • Topic 5: Data Cleaning
  • Topic 6: Charts
  • Topic 7: Presentations
  • Topic 8: Quantitative Analysis
  • Topic 9: Qualitative Analysis

Technology

  • Qualtrics
  • Microsoft Forms
  • Google Forms
  • Mircosoft Excel
  • OpenRefine
  • Tableau

Assignments

  • Academic misconduct includes, but is not limited to, plagiarism, cheating, tampering or attempts to tamper with examination scripts, class work, grades and/or class records; failure to abide by directions by an instructor regarding the individuality of work handed in; the acquisition, attempted acquisition, possession, and/or distribution of examination materials or information not authorized by the instructor; the impersonation of another student in an examination or other class assignment; the falsification or fabrication of clinical or laboratory reports; the non-authorized tape recording of lectures. Please refer to Sec. K.5 in the University Calendar for complete information.
    If you are involved in an academic misconduct investigation, you will be contacted by the Department of Computer Science to schedule a meeting to discuss the case. Please do not contact your instructor or teaching assistant.

  • Assignment 1
    • Due Date: Friday, January 29th, 2021: 23:59 (11:59PM)
    • Topics: Non-Digital Visualizations
    • Assignment Description
    • Dataset attached to D2L Dropbox
  • Assignment 2
    • Due Date: Friday, February 12th, 2021: 23:59 (11:59PM)
    • Topics: Survey
    • Assignment Description
  • Assignment 3
    • Due Date: Friday, March 5th, 2021: 23:59 (11:59PM)
    • Topics: Data Cleaning
    • Assignment Description
    • Dataset attached to D2L Dropbox
  • Assignment 4
    • Due Date: Friday, March 19th, 2021: 23:59 (11:59PM)
    • Topics: Digital Visualizations
    • Assignment Description
    • Dataset attached to D2L Dropbox

Project

  • Groups Formed Due Date: Tuesday, March 2nd, 2021: 23:59 (11:59PM)
  • Proposal Due Date: Friday, March 12th, 2021: 23:59 (11:59PM)
  • Presentations In-Class: March 24th-April 14th
  • Report Due Date: Thursday, April 15th, 2021: 23:59 (11:59PM)
  • Topics: Data Analysis Pipeline
  • Project Description
  • Peer Evaluation
  • Consent form template attached to D2L Dropbox