Data visualization on BI platforms

2024/2025

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Business Informatics and Operations Management

Course type:

Compulsory course

When:

2 year, 1 module

Course Syllabus

Abstract

The aim of the course is to advanced student’s analytical skills and to introduce them with basic analytical instruments – BI platforms. Quantitative methods play significant role not only in academic research but also in various forms of business activities. This trend causes a rising role of data flow understanding and all data-related skills. Course emphases several of them such as data processing, visualization and interpretation.

Learning Objectives

• • Know basic data-related concepts
• • Understand data lifecycle and what challenges each stage contains
• • Understand what some of the most common BI platforms are
• • Become confident in using BI platforms
• • Learn how to go full analysis cycle

Expected Learning Outcomes

• • Understand and manage the lexicon and key concepts of Data Analysis
• • Be able to use professional BI tools
• • Be able to select the right approaches and metrics based on your business objective
• • Be confident in manipulation of the data using and visualization

Course Contents

• The introduction & the role of data analysis (DA). Data analysis itself: data lifecycle, analysis types and instruments.
• Power BI – as a representative of BI-products. Data processing using Power query and M-language.
• Models of data, data relationships & Introducing to DAX language
• Core principles of data models using
• Approaches to visualizing data & effective data storytelling
• The full research cycle & roads from idea to presentation

Assessment Elements

• Test
  The test consists of 20 test questions. Total time: 30 min. No negative marks for wrong answers.
• Group assignment (interactive dashboard)
  The test consists of 20 test questions. Total time: 30 min. No negative marks for wrong answers.
• Exam
  Exam in the form of a test
• Group assignment (analytical report)
  The test consists of 20 test questions. Total time: 30 min. No negative marks for wrong answers.

Interim Assessment

• 2024/2025 1st module
  0.25 * Exam + 0.25 * Group assignment (analytical report) + 0.25 * Group assignment (interactive dashboard) + 0.25 * Test

Bibliography

Recommended Core Bibliography

• Embarak O. Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems. - Apress, 2018.

Recommended Additional Bibliography

• Corbett, J. (2002). Edward Tufte, The Visual Display of Quantitative Information, 1983. CSISS Classics. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.ADE6E165

Authors

• KARLINA VERONIKA ALEKSANDROVNA
• RYMASHEVSKAYA TATYANA ALEKSANDROVNA