BI Systems and Data Visualization

2025/2026

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент бизнес-информатики и операционного менеджмента

Статус:

Курс по выбору

Когда читается:

3-й курс, 4 модуль

Преподаватель

Травин Александр Сергеевич

Course Syllabus

Abstract

This course introduces students to modern business intelligence tools and the principles of data visualization used in companies for reporting, analysis, and managerial decision support. The course is practice-oriented and focuses on choosing appropriate BI instruments, preparing and transforming data, building data models, creating calculations, and designing analytical reports and dashboards.

Learning Objectives

• Provide students with a practical understanding of BI systems used in business and economics.
• Develop the ability to select relevant tools for reporting, analysis, and dashboard design.
• Teach students to prepare, transform, and model data for analytical and managerial tasks.
• Develop skills in creating clear, accurate, and decision-oriented visualizations.
• Strengthen students’ ability to interpret analytical results and formulate evidence-based business recommendations.

Expected Learning Outcomes

• Able to use modern digital tools and information technologies to solve analytical business problems
• Can identify relevant data sources and prepare data structures suitable for business analysis
• Able to build and validate basic data models for reporting and decision support
• Can create calculated metrics and analytical views in a BI environment
• Able to design dashboards and reports that communicate findings clearly to non-technical stakeholders
• Can interpret quantitative results and translate them into practical managerial recommendations
• Able to work independently on applied analytical tasks within defined professional requirements

Course Contents

• BI systems in business: roles, architecture, and tool selection
• Data acquisition and transformation in Power BI
• Data modeling for analysis
• DAX fundamentals and analytical calculations
• Principles of data visualization and report design
• Interactive dashboards and analytical storytelling
• Publishing, sharing, governance, and performance

Assessment Elements

• Class participation and assignment
  1. Work on each of 8 in class meetings is graded from 0 to 10 points 2. Visiting each class graded as 1 point (each meeting gives maximum 2 points) 3. In the end of each class students solve a practical exercise/a test which can give from 0 to 8 points.
• Final Test
  The test is conducted individually in a computer classroom and consists of practical tasks performed in Power BI. Students complete the test individually on a desktop computer using the software provided by the instructor. The test includes 10 practical tasks in Power BI. The total duration of the test is 80 minutes. During the test, any form of cheating is strictly prohibited, including the use of mobile devices, paper materials, cheat sheets, unauthorized communication with other students, viewing another student’s screen or notes, and unauthorized access to the Internet, local network resources, or external files not provided by the instructor. If cheating is detected, the student is removed from the classroom and receives 0 (zero) points for the test.
• Project
  Final Project is an activity that conducted in small groups (2-3 students). Practical cases and groups are provided by the tutor. Students can decide to prepare their work based on their own business case, however the description and data for it should be approved by the tutor at least 3 weeks before the deadline.

Interim Assessment

• 2025/2026 4th module
  0.25 * Class participation and assignment + 0.5 * Project + 0.25 * Final Test

Bibliography

Recommended Core Bibliography

• 24325 - Анализируем данные в Microsoft Power BI. Подготовка к экзамену DA-100 - Д.Маслюк - ДМК Пресс - 2022 - https://hse.alpinadigital.ru/document/24325 - Alpina
• Бизнес-моделирование и анализ данных. Решение актуальных задач с помощью Microsoft Excel, Винстон, У., 2021

Recommended Additional Bibliography

• Приручи данные с помощью Power Query в Excel и Power BI : использование Power Query для получения и преобразования исходных данных, Пульс, К., 2022

Authors

• TRAVIN ALEKSANDR SERGEEVICH
• Орлова Екатерина Дмитриевна