Acerca de este Curso

76,193 vistas recientes

Resultados profesionales del estudiante

29%

comenzó una nueva carrera después de completar estos cursos

29%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

18%

consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 23 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Habilidades que obtendrás

Extraction, Transformation And Loading (ETL)PentahoData IntegrationData Warehouse

Resultados profesionales del estudiante

29%

comenzó una nueva carrera después de completar estos cursos

29%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

18%

consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 23 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

ofrecido por

Logotipo de Sistema Universitario de Colorado

Sistema Universitario de Colorado

Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up93%(4,492 calificaciones)Info
Semana
1

Semana 1

4 horas para completar

Data Warehouse Concepts and Architectures

4 horas para completar
8 videos (Total 53 minutos), 15 lecturas, 1 cuestionario
8 videos
Course objectives video lecture4m
Course topics and assignments video lecture4m
Motivation and characteristics video lecture8m
Learning effects for data warehouse development video lecture9m
Data warehouse architectures and maturity video lecture10m
Data Warehouse Examples video lecture9m
Employment opportunities video lecture6m
15 lecturas
Powerpoint lecture notes for lesson 110m
Optional textbook10m
Powerpoint lecture notes for lesson 210m
Powerpoint lecture notes for lesson 310m
Powerpoint lecture notes for lesson 410m
Powerpoint lecture notes for lesson 510m
Powerpoint lecture notes for lesson 610m
Powerpoint lecture notes for lesson 710m
Overview of software requirements10m
Pivot4J installation10m
Pentaho Data Integration installation10m
Overview of database software installation10m
Oracle installation notes10m
Making connections to a local Oracle database10m
Optional textbook reading material10m
1 ejercicio de práctica
Module 1 quiz30m
Semana
2

Semana 2

3 horas para completar

Multidimensional Data Representation and Manipulation

3 horas para completar
8 videos (Total 50 minutos), 9 lecturas, 1 cuestionario
8 videos
Data cube operators video lecture6m
Overview of Microsoft MDX video lecture6m
Microsoft MDX statements video lecture6m
Overview of Pivot4J video lecture6m
Overview of WebPivotTable video lecture4m
WebPivotTable software demonstration5m
Pivot4J software demonstration video lecture4m
9 lecturas
Powerpoint lecture notes for lesson 110m
Powerpoint lecture notes for lesson 210m
Powerpoint lecture notes for lesson 310m
Powerpoint lecture notes for lesson 410m
Powerpoint lecture notes for lesson 510m
Powerpoint lecture notes for lesson 610m
Optional textbook reading material10m
Pentaho Pivot4J tutorial10m
WebPivotTable Tutorial10m
1 ejercicio de práctica
Module 2 quiz20m
4 horas para completar

Multidimensional Data Representation and Manipulation: Lesson Choices

4 horas para completar
2 ejercicios de práctica
Quiz for module 2 assignment - WebPivotTable
Quiz for module 2 assignment - Pivot4J26m
Semana
3

Semana 3

4 horas para completar

Data Warehouse Design Practices and Methodologies

4 horas para completar
6 videos (Total 47 minutos), 8 lecturas, 2 cuestionarios
6 videos
Table design patterns video lecture8m
Summarizability patterns for dimension tables video lecture6m
Summarizability patterns for dimension-fact relationships video lecture6m
Mini case for data warehouse design video lecture8m
Data warehouse design methodologies video lecture8m
8 lecturas
Powerpoint lecture notes for lesson 110m
Powerpoint lecture notes for lesson 210m
Powerpoint lecture notes for lesson 310m
Powerpoint lecture notes for lesson 410m
Powerpoint lecture notes for lesson 510m
Powerpoint lecture notes for lesson 610m
Practice problems for module 310m
Optional textbook reading material10m
1 ejercicio de práctica
Module 3 quiz20m
Semana
4

Semana 4

2 horas para completar

Data Integration Concepts, Processes, and Techniques

2 horas para completar
6 videos (Total 48 minutos), 7 lecturas, 1 cuestionario
6 videos
Change data concepts video lecture7m
Data cleaning tasks video lecture5m
Pattern matching with regular expressions video lecture9m
Matching and consolidation video lecture8m
Quasi identifiers and distance functions for entity matching video lecture7m
7 lecturas
Powerpoint lecture notes for lesson 110m
Powerpoint lecture notes for lesson 210m
Powerpoint lecture notes for lesson 310m
Powerpoint lecture notes for lesson 410m
Powerpoint lecture notes for lesson 510m
Powerpoint lecture notes for lesson 610m
Optional reading material10m
1 ejercicio de práctica
Module 4 quiz30m

Revisiones

Principales revisiones sobre DATA WAREHOUSE CONCEPTS, DESIGN, AND DATA INTEGRATION

Ver todos los comentarios

Acerca de Programa especializado: Data Warehousing for Business Intelligence

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics. This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience....
Data Warehousing for Business Intelligence

Preguntas Frecuentes

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.