Data Vizualization

Course Description

Course is lectured for AUCA students. The course is designed for undergraduate students with no prior experience in data visualization. Students will be introduced to fundamental concepts of data visualization. They will create different types of charts and examine when to use each one to explain their data. Students will explore the most appropriate visual representation given different types of data. By the end of the course students will be able to generate effective visualizations that will help people make decisions and take action based on data. We will learn how to use Tablue, PowerBI and how to write SQL-quires

Instructor: Ilias Suvanov

Lectures and seminars will be held on Thursday at 18:30

Course metadata

Course schedule

Course schedule is every Thursday at 18.30.

Course materials

Main materials are taken from:

  1. Official training videos on Tableau
  2. 10 of the best visualization examples
  3. Stacked area graphs are not your friend
  4. To Optimize or to Satisfice in Data Visualization?
  5. Good Data Visualization Should Be Boring
  6. Visual Analysis Best Practices by Tableau
  7. Data Visualization Best Practices Part 1: The 3 Cardinal Rules
  8. Data Visualization Best Practices Part 2: Mistakes to Avoid
  9. The Ethics of Visualization
  10. Gestalt Principles: How Are Your Designs Perceived?
  11. The Right Colors Make Data Easier To Read
  12. Reddit - data is beautiful

Lectures/Seminars

Homework

Grading

Please refer to Gradebook for detailed and uptodate information on the grading.

  • Participiation - 20 points
  • Attendance - 20 points
  • Homeworks - 30 points
  • Midterm - 15 points
  • Final 15 points
Warning

Instructor reserves the right to require any course participant to sit for an individual oral examination (with turned on webcam and mic) before submitting the final grade to the registrar. Refusal to sit for an individual oral examination by a course participant, may result in failing the course. Instructor will notify potential course participants about the oral examination one week prior the course completion.