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Data Management: Dictionaries, Quality and Communication · LearnSpace
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Data Management: Dictionaries, Quality and Communication

Курс от Coursera
Начальный≈ 4.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Data Management Basics: Dictionaries, Quality, and Communication is an entry-level course designed for professionals, analysts, and team members who want to ensure their organization’s data is clear, reliable, and actionable. In today’s data-driven workplace, mistakes and misunderstandings can quietly erode trust, waste time, and lead to costly errors. This course empowers you with the tools and mindset to build shared definitions, catch and correct quality issues, and communicate clearly about data standards—across both technical and business teams. You’ll work through hands-on labs, scenario-driven readings, and real-world case studies, learning how to create and maintain a data dictionary, audit data for errors, and develop practical communication routines. From everyday spreadsheets to larger organizational projects, you’ll practice skills that prevent confusion and set the stage for advanced data management. Whether you're supporting analytics, building business processes, or just want to stop the endless back-and-forth over data definitions, this course helps you build a foundation for trust and smarter decision-making—right from the start.

Навыки, которые вы освоите

Communication StrategiesDisaster RecoveryData QualityData GovernanceCase StudiesData ValidationData DictionaryCross-Functional CollaborationData ManagementData IntegrityData MaintenanceStakeholder CommunicationsData Cleansing

Программа курса

3 модулей · 26 учебных материалов

01Lesson 1: Data Dictionaries: Building a Shared Language for Data10 материалов
The Report That No One Could TrustDIALOGUEWelcome to the Course: Course OverviewЧтениеIntroduction and WelcomeВидеоWhy Shared Data Definitions MatterВидео

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Преподаватель курса

Data Management: Dictionaries, Quality and Communication
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Обучение на Coursera

≈ 4.1 ч

3 модулей

Язык: Английский

Субтитры: Венгерский

Часть программы вашего университета
Building a Data Dictionary: Step-by-StepВидео
Common Data Quality Dimensions and Their ImpactЧтение
When Data Definitions Go WrongВидео
Building Your Own Data DictionaryЧтение
HOL: Create a Data Dictionary for a Real or Simulated ProjectЗадание
Reflecting on Data Dictionary ChallengesDIALOGUE
02Lesson 2: Data Quality in Action: Catching and Correcting Errors6 материалов
Spotting Data Quality Issues Before They SpreadВидеоThe Cost of Poor Data Quality: Why Every Detail CountsЧтениеData Quality in Action: Tools and Techniques for Real DatasetsВидеоCatching and Correcting Errors: Case Studies from the Real WorldВидеоHOL: Run a Data Quality Audit on a Sample DatasetЗаданиеReflecting on Data Quality LessonsDIALOGUE
03Lesson 3: Data Resilience: Leading Through Errors, Recovery, and Reflection10 материалов
Beyond the Fix: Data Recovery and Moving ForwardВидеоTurning Mistakes into Systems: Learning from the Facebook Metrics ScandalВидеоResponsibility of Quality Data - The Equifax StoryВидеоThe Power of Reflection in Data TeamsЧтениеResilience Habits: Embedding Lessons for the FutureВидеоHOL: Design a Data Recovery and Reflection FrameworkЗаданиеReflect on Recovery and Team ResilienceDIALOGUECongratulations and Continuous JourneyВидеоProject: Data Resilience PortfolioЗаданиеGraded AssessmentЗадание