課程信息

77,143 次近期查看

學生職業成果

29%

完成這些課程後已開始新的職業生涯

29%

通過此課程獲得實實在在的工作福利

18%

加薪或升職
可分享的證書
完成後獲得證書
100% 在線
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根據您的日程表重置截止日期。
完成時間大約為23 小時
英語(English)
字幕:英語(English)

您將獲得的技能

Extraction, Transformation And Loading (ETL)PentahoData IntegrationData Warehouse

學生職業成果

29%

完成這些課程後已開始新的職業生涯

29%

通過此課程獲得實實在在的工作福利

18%

加薪或升職
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為23 小時
英語(English)
字幕:英語(English)

提供方

科罗拉多大学系统 徽標

科罗拉多大学系统

教學大綱 - 您將從這門課程中學到什麼

內容評分Thumbs Up93%(4,470 個評分)Info
1

1

完成時間為 4 小時

Data Warehouse Concepts and Architectures

完成時間為 4 小時
8 個視頻 (總計 53 分鐘), 15 個閱讀材料, 1 個測驗
8 個視頻
Course objectives video lecture4分鐘
Course topics and assignments video lecture4分鐘
Motivation and characteristics video lecture8分鐘
Learning effects for data warehouse development video lecture9分鐘
Data warehouse architectures and maturity video lecture10分鐘
Data Warehouse Examples video lecture9分鐘
Employment opportunities video lecture6分鐘
15 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Optional textbook10分鐘
Powerpoint lecture notes for lesson 210分鐘
Powerpoint lecture notes for lesson 310分鐘
Powerpoint lecture notes for lesson 410分鐘
Powerpoint lecture notes for lesson 510分鐘
Powerpoint lecture notes for lesson 610分鐘
Powerpoint lecture notes for lesson 710分鐘
Overview of software requirements10分鐘
Pivot4J installation10分鐘
Pentaho Data Integration installation10分鐘
Overview of database software installation10分鐘
Oracle installation notes10分鐘
Making connections to a local Oracle database10分鐘
Optional textbook reading material10分鐘
1 個練習
Module 1 quiz30分鐘
2

2

完成時間為 3 小時

Multidimensional Data Representation and Manipulation

完成時間為 3 小時
8 個視頻 (總計 50 分鐘), 9 個閱讀材料, 1 個測驗
8 個視頻
Data cube operators video lecture6分鐘
Overview of Microsoft MDX video lecture6分鐘
Microsoft MDX statements video lecture6分鐘
Overview of Pivot4J video lecture6分鐘
Overview of WebPivotTable video lecture4分鐘
WebPivotTable software demonstration5分鐘
Pivot4J software demonstration video lecture4分鐘
9 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Powerpoint lecture notes for lesson 210分鐘
Powerpoint lecture notes for lesson 310分鐘
Powerpoint lecture notes for lesson 410分鐘
Powerpoint lecture notes for lesson 510分鐘
Powerpoint lecture notes for lesson 610分鐘
Optional textbook reading material10分鐘
Pentaho Pivot4J tutorial10分鐘
WebPivotTable Tutorial10分鐘
1 個練習
Module 2 quiz20分鐘
完成時間為 4 小時

Multidimensional Data Representation and Manipulation: Lesson Choices

完成時間為 4 小時
2 個練習
Quiz for module 2 assignment - WebPivotTable
Quiz for module 2 assignment - Pivot4J26分鐘
3

3

完成時間為 4 小時

Data Warehouse Design Practices and Methodologies

完成時間為 4 小時
6 個視頻 (總計 47 分鐘), 8 個閱讀材料, 2 個測驗
6 個視頻
Table design patterns video lecture8分鐘
Summarizability patterns for dimension tables video lecture6分鐘
Summarizability patterns for dimension-fact relationships video lecture6分鐘
Mini case for data warehouse design video lecture8分鐘
Data warehouse design methodologies video lecture8分鐘
8 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Powerpoint lecture notes for lesson 210分鐘
Powerpoint lecture notes for lesson 310分鐘
Powerpoint lecture notes for lesson 410分鐘
Powerpoint lecture notes for lesson 510分鐘
Powerpoint lecture notes for lesson 610分鐘
Practice problems for module 310分鐘
Optional textbook reading material10分鐘
1 個練習
Module 3 quiz20分鐘
4

4

完成時間為 2 小時

Data Integration Concepts, Processes, and Techniques

完成時間為 2 小時
6 個視頻 (總計 48 分鐘), 7 個閱讀材料, 1 個測驗
6 個視頻
Change data concepts video lecture7分鐘
Data cleaning tasks video lecture5分鐘
Pattern matching with regular expressions video lecture9分鐘
Matching and consolidation video lecture8分鐘
Quasi identifiers and distance functions for entity matching video lecture7分鐘
7 個閱讀材料
Powerpoint lecture notes for lesson 110分鐘
Powerpoint lecture notes for lesson 210分鐘
Powerpoint lecture notes for lesson 310分鐘
Powerpoint lecture notes for lesson 410分鐘
Powerpoint lecture notes for lesson 510分鐘
Powerpoint lecture notes for lesson 610分鐘
Optional reading material10分鐘
1 個練習
Module 4 quiz30分鐘

審閱

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關於 面向商业智能的数据仓库 專項課程

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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