About this Course
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Learner Career Outcomes

29%

started a new career after completing these courses

29%

got a tangible career benefit from this course

18%

got a pay increase or promotion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 18 hours to complete

Suggested: 6 hours/week...

English

Subtitles: English

Skills you will gain

Extraction, Transformation And Loading (ETL)PentahoData IntegrationData Warehouse

Learner Career Outcomes

29%

started a new career after completing these courses

29%

got a tangible career benefit from this course

18%

got a pay increase or promotion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 18 hours to complete

Suggested: 6 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
4 hours to complete

Data Warehouse Concepts and Architectures

8 videos (Total 53 min), 15 readings, 1 quiz
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 readings
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 practice exercise
Module 1 quiz30m
Week
2
3 hours to complete

Multidimensional Data Representation and Manipulation

8 videos (Total 50 min), 9 readings, 1 quiz
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 readings
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 practice exercise
Module 2 quiz20m
4 hours to complete

Multidimensional Data Representation and Manipulation: Lesson Choices

4 quizzes
2 practice exercises
Quiz for module 2 assignment - WebPivotTable
Quiz for module 2 assignment - Pivot4J26m
Week
3
4 hours to complete

Data Warehouse Design Practices and Methodologies

6 videos (Total 47 min), 8 readings, 2 quizzes
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 readings
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 practice exercise
Module 3 quiz20m
Week
4
2 hours to complete

Data Integration Concepts, Processes, and Techniques

6 videos (Total 48 min), 7 readings, 1 quiz
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 readings
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 practice exercise
Module 4 quiz30m
4.4
153 ReviewsChevron Right

Top reviews from Data Warehouse Concepts, Design, and Data Integration

By EKDec 16th 2015

Very nice class, well thought out and organized. The assignments are interesting and the practice assignments are relevant. Getting hands on on Pentaho was a big plus.

By MHDec 13th 2016

Good learning for Data integration and ETL learning. How data from source to target table transform over the business requirement to be ready for processing

Instructor

Avatar

Michael Mannino

Associate Professor
Business School, University of Colorado Denver

About University of Colorado System

The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond....

About the Data Warehousing for Business Intelligence Specialization

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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

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