DATA UNIVERSEDescripción detallada del cursoDetailed course description
Contenido en inglés, el idioma en que se imparte el curso.Content in English, the language the course is taught in.
Do you want to ensure that your organization’s data is reliable, consistent, and fit for decision-making? Are you looking to detect and fix data issues before they impact operations or strategy? Then this course, “Data Quality in Data Governance Based on DAMA”, is exactly what you need.
In this course, you will explore the core principles of Data Quality and learn how to apply them within the DAMA-DMBOK framework. You’ll understand how to profile, cleanse, monitor, and standardize data across your systems to ensure accuracy, completeness, consistency, and timeliness.
We’ll cover key topics such as defining quality dimensions, creating validation rules and standards, implementing continuous monitoring processes, and addressing real-world data quality challenges. You’ll also learn how to embed Data Quality into broader governance initiatives and how to align people, processes, and tools for sustainable improvement.
Qué aprenderás en este cursoWhat you'll learn in this course
A quién va dirigidoWho this course is for
- Anyone who wants to understand how to ensure high-quality data to support reliable and efficient decision-making
- Professionals who want to apply the DAMA-DMBOK framework to design and implement data quality initiatives
- Individuals with no prior experience in data who want to learn the fundamentals of data quality and its business impact
- Managers and team leaders seeking to improve data reliability and governance across their teams and departments
- Students and recent graduates interested in building a solid foundation in one of the most in-demand areas of data management
- Data analysts, developers, or IT professionals who want to strengthen their skills in profiling, cleansing, and monitoring data
Requisitos previosPrerequisites
- Familiarity with data-related terminology can be helpful, but no prior knowledge is required
Programa completo del cursoFull course curriculum
Contenido en inglés, el idioma en que se imparte el curso.Content in English, the language the course is taught in.
01Introduction to Data Quality3 claseslectures · 10m
- Definition of Data Quality3m
- Importance of Data Quality in Organizations3m
- Relationship Between Data Quality and Data Governance4m
02Business Drivers for Data Quality3 claseslectures · 10m
- Factors Driving the Need to Manage Data Quality3m
- Impact of Data Quality on Operations and Decision-Making3m
- Examples of Common Problems Caused by Poor Data Quality4m
03Principles and Objectives of Data Quality Management6 claseslectures · 25m
- Key Principles to Ensure Data Quality4m
- Accuracy: Data That Accurately Reflects Reality4m
- Integrity: Completeness of Required Data4m
- Consistency: Uniformity of Data Within Its Context4m
- Timeliness: Data Available When Needed4m
- Uniqueness: Elimination of Duplicates and Redundancies4m
04Key Activities in Data Quality Management5 claseslectures · 19m
- Data Profiling and Quality Analysis5m
- Defining Business Rules and Quality Standards3m
- Continuous Monitoring and Measurement of Data Quality3m
- Data Cleansing and Error Correction4m
- Designing Operational Procedures for Data Quality4m
05Tools and Techniques for Data Quality3 claseslectures · 12m
- Tools for Data Profiling and Analysis4m
- Solutions for Data Transformation and Validation4m
- Monitoring Techniques and Quality Reporting4m
06Governance in Data Quality Management3 claseslectures · 12m
- Importance of Governance to Ensure Data Quality4m
- Roles and Responsibilities in Data Quality Management4m
- Policies and Standards for Data Quality4m
07Best Practices for Implementing a Data Quality Program3 claseslectures · 10m
- Key Success Factors for Effective Data Quality Management4m
- Common Challenges and Lessons Learned From Data Quality Projects4m
- Strategies for Sustainable and Scalable Processes2m
08Practical Use Cases in Data Quality Management4 claseslectures · 20m
- Case 1: Duplicate Resolution in a CRM System4m
- Case 2: Implementing Quality Monitoring in a Data Warehouse5m
- Case 3: Data Profiling and Cleansing in Legacy System Integration5m
- Case 4: Defining Business Rules to Ensure Master Data Consistency5m
09AI Governance Toolkit1 claseslectures · 2m
- AI Governance Toolkit2m
Preguntas frecuentes sobre este cursoFrequently asked questions about this course
¿En qué idioma está el curso?What language is the course in?
Se imparte íntegramente en inglés. Todo el material del curso está en ese idioma. Puedes comprobar en Udemy si hay subtítulos disponibles para tu idioma.It is taught entirely in English. All course material is in that language. You can check on Udemy whether subtitles are available for your language.
¿Qué nivel se necesita?What level is required?
Está catalogado como todos los niveles. Los requisitos publicados por el instructor están en la pestaña de visión general, en el idioma del curso.It is listed as all levels. The requirements published by the instructor are in the overview tab, in the course language.
¿Cuánto dura y qué incluye?How long is it and what is included?
1h 58m de vídeo en 31 clases repartidas en 9 secciones (sin tests), más el certificado de finalización de Udemy.1h 58m of video across 31 lectures in 9 sections (no tests), plus the Udemy certificate of completion.
¿Cuánto tiempo tengo acceso?How long do I have access?
Acceso de por vida en Udemy, con las actualizaciones incluidas y garantía de devolución de 30 días según las políticas de Udemy.Lifetime access on Udemy, with updates included and a 30-day refund guarantee under Udemy policies.
¿Se puede contratar para un equipo o empresa?Can it be arranged for a team or company?
Sí. Impartimos formación in-company partiendo de este contenido, adaptada al sector y al nivel del equipo. Usa el botón de solicitar formación y te contamos opciones.Yes. We deliver in-company training based on this content, adapted to your sector and your team level. Use the request training button and we will walk you through the options.
Valoración de los alumnosStudent ratings
Las opiniones se gestionan y verifican en la plataforma Udemy. Puedes leerlas todas en la página del curso:Reviews are managed and verified on the Udemy platform. You can read them all on the course page: ver opiniones en Udemy →see reviews on Udemy →