このコースについて

76,193 最近の表示

受講生の就業成果

29%

コース終了後に新しいキャリアをスタートした

29%

コースが具体的なキャリアアップにつながった

18%

昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
約23時間で修了
英語
字幕:英語

習得するスキル

Extraction, Transformation And Loading (ETL)PentahoData IntegrationData Warehouse

受講生の就業成果

29%

コース終了後に新しいキャリアをスタートした

29%

コースが具体的なキャリアアップにつながった

18%

昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
約23時間で修了
英語
字幕:英語

提供:

University of Colorado System ロゴ

University of Colorado System

シラバス - 本コースの学習内容

コンテンツの評価Thumbs Up93%(4,496 件の評価)Info
1

1

4時間で修了

Data Warehouse Concepts and Architectures

4時間で修了
8件のビデオ (合計53分), 15 readings, 1 quiz
8件のビデオ
Course objectives video lecture4 分
Course topics and assignments video lecture4 分
Motivation and characteristics video lecture8 分
Learning effects for data warehouse development video lecture9 分
Data warehouse architectures and maturity video lecture10 分
Data Warehouse Examples video lecture9 分
Employment opportunities video lecture6 分
15件の学習用教材
Powerpoint lecture notes for lesson 110 分
Optional textbook10 分
Powerpoint lecture notes for lesson 210 分
Powerpoint lecture notes for lesson 310 分
Powerpoint lecture notes for lesson 410 分
Powerpoint lecture notes for lesson 510 分
Powerpoint lecture notes for lesson 610 分
Powerpoint lecture notes for lesson 710 分
Overview of software requirements10 分
Pivot4J installation10 分
Pentaho Data Integration installation10 分
Overview of database software installation10 分
Oracle installation notes10 分
Making connections to a local Oracle database10 分
Optional textbook reading material10 分
1の練習問題
Module 1 quiz30 分
2

2

3時間で修了

Multidimensional Data Representation and Manipulation

3時間で修了
8件のビデオ (合計50分), 9 readings, 1 quiz
8件のビデオ
Data cube operators video lecture6 分
Overview of Microsoft MDX video lecture6 分
Microsoft MDX statements video lecture6 分
Overview of Pivot4J video lecture6 分
Overview of WebPivotTable video lecture4 分
WebPivotTable software demonstration5 分
Pivot4J software demonstration video lecture4 分
9件の学習用教材
Powerpoint lecture notes for lesson 110 分
Powerpoint lecture notes for lesson 210 分
Powerpoint lecture notes for lesson 310 分
Powerpoint lecture notes for lesson 410 分
Powerpoint lecture notes for lesson 510 分
Powerpoint lecture notes for lesson 610 分
Optional textbook reading material10 分
Pentaho Pivot4J tutorial10 分
WebPivotTable Tutorial10 分
1の練習問題
Module 2 quiz20 分
4時間で修了

Multidimensional Data Representation and Manipulation: Lesson Choices

4時間で修了
2の練習問題
Quiz for module 2 assignment - WebPivotTable
Quiz for module 2 assignment - Pivot4J26 分
3

3

4時間で修了

Data Warehouse Design Practices and Methodologies

4時間で修了
6件のビデオ (合計47分), 8 readings, 2 quizzes
6件のビデオ
Table design patterns video lecture8 分
Summarizability patterns for dimension tables video lecture6 分
Summarizability patterns for dimension-fact relationships video lecture6 分
Mini case for data warehouse design video lecture8 分
Data warehouse design methodologies video lecture8 分
8件の学習用教材
Powerpoint lecture notes for lesson 110 分
Powerpoint lecture notes for lesson 210 分
Powerpoint lecture notes for lesson 310 分
Powerpoint lecture notes for lesson 410 分
Powerpoint lecture notes for lesson 510 分
Powerpoint lecture notes for lesson 610 分
Practice problems for module 310 分
Optional textbook reading material10 分
1の練習問題
Module 3 quiz20 分
4

4

2時間で修了

Data Integration Concepts, Processes, and Techniques

2時間で修了
6件のビデオ (合計48分), 7 readings, 1 quiz
6件のビデオ
Change data concepts video lecture7 分
Data cleaning tasks video lecture5 分
Pattern matching with regular expressions video lecture9 分
Matching and consolidation video lecture8 分
Quasi identifiers and distance functions for entity matching video lecture7 分
7件の学習用教材
Powerpoint lecture notes for lesson 110 分
Powerpoint lecture notes for lesson 210 分
Powerpoint lecture notes for lesson 310 分
Powerpoint lecture notes for lesson 410 分
Powerpoint lecture notes for lesson 510 分
Powerpoint lecture notes for lesson 610 分
Optional reading material10 分
1の練習問題
Module 4 quiz30 分

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Data Warehousing for Business Intelligence専門講座について

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

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