Data Visualization

2021/2022

Academic Year

ENG

Instruction in English

4

ECTS credits

Delivered at:

Bachelor's Programme in Digital Product Management

Course type:

Compulsory course

When:

2 year, 1 module

Instructor

Nikiforova / Nikivincze, Irina

Course Syllabus

Abstract

The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas. Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws. This course will give you the skills you need to leverage data to reveal valuable insights.

Learning Objectives

• The purpose of "Data Visualization" discipline is to master modern applied visualization tools (Excel, Power BI and Tableau), familiarization with different types of graphs, their construction and organization in reports and dashboards. The objectives of mastering the discipline "Data Visualization" are: 1) to be able to choose the right method of data visualization, 2) to gain experience using visualization tools (Excel, Power BI and Tableau) and 3) to practice organizing reports and dashboards with visualization results.

Expected Learning Outcomes

• to be able to create dashboards using Power BI and Tableau software
• to be able to create interesting, informative and creative stories using data
• to know basic approaches and methods of data visualization
• to know the basic rules of effective design and presentation of data

Course Contents

• Introduction to Data Visualization
• Methodology of Data Visualization
• Basic Types of Visualization
• Principles of Figure Design
• Basic Graphs in Power BI
• Dashboard Design in Power BI
• Basic Graphs in Tableau
• Dashboard Design in Tableau
• Data Storytelling

Assessment Elements

• Exam
• Home tasks

Interim Assessment

• 2021/2022 1st module
  0.6 * Home tasks + 0.4 * Exam

Bibliography

Recommended Core Bibliography

• Brent Dykes. (2020). Effective Data Storytelling : How to Drive Change with Data, Narrative and Visuals. Wiley.
• Nathalie Henry Riche, Christophe Hurter, Nicholas Diakopoulos, & Sheelagh Carpendale. (2018). Data-Driven Storytelling. A K Peters/CRC Press.
• Walny, J., Frisson, C., West, M., Kosminsky, D., Knudsen, S., Carpendale, S., & Willett, W. (2019). Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff.