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

Announcements

  • Website has been converted to inactive mode. (some links should no longer be expected to work)
  • Course material posted on this course website.
  • Assignment and Project Submission/Grading via D2L
  • Lectures and labs will be via Zoom through D2L until at least February 28th, 2022

Lectures

  • Lectures begin on Monday, January 10th, 2022
  • Last day to drop is Thursday, January 20th, 2022
  • Lectures end and last day to withdraw is Tuesday, April 12th, 2022
  • Lectures will be via Zoom through D2L until at least February 28th, 2022
    • DATA 201 L01 MoWe 13:00 - 13:50

Labs

  • Labs will begin on Monday/Tuesday January 17th, 2022
  • Labs will be via Zoom through D2L until at least February 28th, 2022
    • DATA 201 B01 MoWe 09:00 - 10:15
    • DATA 201 B02 MoWe 11:00 - 12:15
    • DATA 201 B03 TuTh 09:30 - 10:45
    • DATA 201 B04 TuTh 12:30 - 13:45

Office Hours

  • Office hours will be via Zoom through D2L until at least February 28th, 2022
  • MoWe 14:00 - 14:50 or setup via email
  • Zoom is an option as well

Important Dates

  • University Closed for Family Day Monday, February 21st, 2022. (During Term Break, no office hours this day)
  • University Closed for Good Friday Friday, April 15th, 2022. (No impact on this class)
  • University Closed for Easter Monday Monday, April 18th, 2022. (No impact on this class)
  • Term Break: Sunday-Saturday, February 20-26th, 2022. (no lectures/labs)

Textbook Resources

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

Support Materials

Technology

  • Qualtrics (survey.ucalgary.ca)
  • Microsoft Forms (through student Office 365 access)
  • Google Forms (optional through your own google account)
  • Mircosoft Excel (through student Office 365 access)
  • OpenRefine (free downloadable https://openrefine.org/)
  • Tableau (student accress keys will be provided in D2L->Content)

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 28th, 2022: 23:59 (11:59PM) 15%
    • Topics: Non-Digital Visualizations
    • Assignment Description
    • Dataset attached to D2L Dropbox
  • Assignment 2
    • Due Date: Friday, February 11th, 2022: 23:59 (11:59PM) 15%
    • Topics: Survey
    • Assignment Description
  • Assignment 3
    • Due Date: Friday, March 4th, 2022: 23:59 (11:59PM) 15%
    • Topics: Data Cleaning
    • Assignment Description
    • Dataset attached to D2L Dropbox
  • Assignment 4
    • Due Date: Friday, March 18th, 2022: 23:59 (11:59PM) 15%
    • Topics: Digital Visualizations
    • Assignment Description
    • Dataset attached to D2L Dropbox

Project 40%

  • Groups Formed Due Date: Tuesday, March 1st, 2022: 23:59 (11:59PM)
  • Proposal Due Date: Friday, March 11th, 2022: 23:59 (11:59PM)
  • Recorded Presentation Due Date: Friday, April 1st, 2022: 23:59 (11:59 PM)
  • Report Due Date: Tuesday, April 12th, 2022: 23:59 (11:59PM)
  • Topics: Data Analysis Pipeline
  • Project Description
  • Peer Evaluation
  • Consent form template attached to D2L Dropbox