2024/2025
Управление данными
Статус:
Маго-лего
Кто читает:
Департамент экономики
Когда читается:
4 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Асеева Полина Викторовна,
Сичинский Антон Евгеньевич
Язык:
английский
Кредиты:
3
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
