Data Management

2024/2025

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент экономики

Статус:

Курс обязательный

Когда читается:

1-й курс, 4 модуль

Преподаватели

Асеева Полина Викторовна

Кривошапкина Айталина Сергеевна

Course Syllabus

Abstract

This course equipes learners with the strategic mindset and technical skills needed to manage data effectively and extract actionable insights. Students will explore the principles, frameworks, and regulations shaping modern data management (e.g., DAMA-DMBOK) while gaining hands-on experience with real-world data analysis. Students will learn the topic through case studies and collaborative projects.

Learning Objectives

• · Explain the principles, frameworks, and importance of data management in companies · Identify key roles, policies, and standards · Evaluate data quality dimensions (accuracy, completeness, consistency) and their · Clean, transform, and prepare raw datasets for analysis · Perform exploratory data analysis with visualization tool PIX BI · Apply descriptive and diagnostic analytics to uncover trends and root causes · Communicate insights effectively through dashboards and reports

Expected Learning Outcomes

• articulate the value of data management in a company, understand analytical methods
• design a basic governance framework (e.g., roles, data classification)
• create visualizations to identify patterns and outliers
• analyze a real-world dataset, resent findings in a business context, propose governance improvements based on analytical discoveries

Course Contents

• 1. Introduction to Data Management & Analysis
• 2. Data Management Principles
• 3. Exploratory Data Analysis & Visualization
• 4. Case Studies

Assessment Elements

• Quizz
• Quizz 2
• Final project

Interim Assessment

• 2024/2025 4th module
  0.5 * Final project + 0.25 * Quizz + 0.25 * Quizz 2

Bibliography

Recommended Core Bibliography

• DAMA-DMBOK: свод знаний по управлению данными, , 2023

Recommended Additional Bibliography

• Yau N. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics. - John Wiley & Sons, 2011.

Authors

• BRODSKAYA NATALYA NIKOLAEVNA