课程信息

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学生职业成果

29%

完成这些课程后已开始新的职业生涯

29%

通过此课程获得实实在在的工作福利

18%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为23 小时
英语(English)
字幕:英语(English)

您将获得的技能

Extraction, Transformation And Loading (ETL)PentahoData IntegrationData Warehouse

学生职业成果

29%

完成这些课程后已开始新的职业生涯

29%

通过此课程获得实实在在的工作福利

18%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为23 小时
英语(English)
字幕:英语(English)

提供方

科罗拉多大学系统 徽标

科罗拉多大学系统

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up93%(4,486 个评分)Info
1

1

完成时间为 4 小时

Data Warehouse Concepts and Architectures

完成时间为 4 小时
8 个视频 (总计 53 分钟), 15 个阅读材料, 1 个测验
8 个视频
Course objectives video lecture4分钟
Course topics and assignments video lecture4分钟
Motivation and characteristics video lecture8分钟
Learning effects for data warehouse development video lecture9分钟
Data warehouse architectures and maturity video lecture10分钟
Data Warehouse Examples video lecture9分钟
Employment opportunities video lecture6分钟
15 个阅读材料
Powerpoint lecture notes for lesson 110分钟
Optional textbook10分钟
Powerpoint lecture notes for lesson 210分钟
Powerpoint lecture notes for lesson 310分钟
Powerpoint lecture notes for lesson 410分钟
Powerpoint lecture notes for lesson 510分钟
Powerpoint lecture notes for lesson 610分钟
Powerpoint lecture notes for lesson 710分钟
Overview of software requirements10分钟
Pivot4J installation10分钟
Pentaho Data Integration installation10分钟
Overview of database software installation10分钟
Oracle installation notes10分钟
Making connections to a local Oracle database10分钟
Optional textbook reading material10分钟
1 个练习
Module 1 quiz30分钟
2

2

完成时间为 3 小时

Multidimensional Data Representation and Manipulation

完成时间为 3 小时
8 个视频 (总计 50 分钟), 9 个阅读材料, 1 个测验
8 个视频
Data cube operators video lecture6分钟
Overview of Microsoft MDX video lecture6分钟
Microsoft MDX statements video lecture6分钟
Overview of Pivot4J video lecture6分钟
Overview of WebPivotTable video lecture4分钟
WebPivotTable software demonstration5分钟
Pivot4J software demonstration video lecture4分钟
9 个阅读材料
Powerpoint lecture notes for lesson 110分钟
Powerpoint lecture notes for lesson 210分钟
Powerpoint lecture notes for lesson 310分钟
Powerpoint lecture notes for lesson 410分钟
Powerpoint lecture notes for lesson 510分钟
Powerpoint lecture notes for lesson 610分钟
Optional textbook reading material10分钟
Pentaho Pivot4J tutorial10分钟
WebPivotTable Tutorial10分钟
1 个练习
Module 2 quiz20分钟
完成时间为 4 小时

Multidimensional Data Representation and Manipulation: Lesson Choices

完成时间为 4 小时
2 个练习
Quiz for module 2 assignment - WebPivotTable
Quiz for module 2 assignment - Pivot4J26分钟
3

3

完成时间为 4 小时

Data Warehouse Design Practices and Methodologies

完成时间为 4 小时
6 个视频 (总计 47 分钟), 8 个阅读材料, 2 个测验
6 个视频
Table design patterns video lecture8分钟
Summarizability patterns for dimension tables video lecture6分钟
Summarizability patterns for dimension-fact relationships video lecture6分钟
Mini case for data warehouse design video lecture8分钟
Data warehouse design methodologies video lecture8分钟
8 个阅读材料
Powerpoint lecture notes for lesson 110分钟
Powerpoint lecture notes for lesson 210分钟
Powerpoint lecture notes for lesson 310分钟
Powerpoint lecture notes for lesson 410分钟
Powerpoint lecture notes for lesson 510分钟
Powerpoint lecture notes for lesson 610分钟
Practice problems for module 310分钟
Optional textbook reading material10分钟
1 个练习
Module 3 quiz20分钟
4

4

完成时间为 2 小时

Data Integration Concepts, Processes, and Techniques

完成时间为 2 小时
6 个视频 (总计 48 分钟), 7 个阅读材料, 1 个测验
6 个视频
Change data concepts video lecture7分钟
Data cleaning tasks video lecture5分钟
Pattern matching with regular expressions video lecture9分钟
Matching and consolidation video lecture8分钟
Quasi identifiers and distance functions for entity matching video lecture7分钟
7 个阅读材料
Powerpoint lecture notes for lesson 110分钟
Powerpoint lecture notes for lesson 210分钟
Powerpoint lecture notes for lesson 310分钟
Powerpoint lecture notes for lesson 410分钟
Powerpoint lecture notes for lesson 510分钟
Powerpoint lecture notes for lesson 610分钟
Optional reading material10分钟
1 个练习
Module 4 quiz30分钟

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关于 面向商业智能的数据仓库 专项课程

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....
面向商业智能的数据仓库

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