• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта

Data visualization on BI platforms

2024/2025
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс обязательный
Когда читается:
2-й курс, 1 модуль

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

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

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

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

Assessment Elements

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

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

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
  • Васильева Татьяна Александровна