Design and Build a Data Warehouse for Business Intelligence Implementation

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Design and Build a Data Warehouse for Business Intelligence Implementation

This course is part of Data Warehousing for Business Intelligence Specialization

Instructors: Michael Mannino

14,186 already enrolled

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6 modules

Gain insight into a topic and learn the fundamentals.

294 reviews

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

294 reviews

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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This course is part of the Data Warehousing for Business Intelligence Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 6 modules in this course

The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across all courses in the specialization. In response to business requirements presented in a case study, you’ll design and build a small data warehouse, create data integration workflows to refresh the warehouse, write SQL statements to support analytical and summary query requirements, and use the MicroStrategy business intelligence platform to create dashboards and visualizations.

In the first part of the capstone course, you’ll be introduced to a medium-sized firm, learning about their data warehouse and business intelligence requirements and existing data sources. You’ll first architect a warehouse schema and dimensional model for a small data warehouse. You’ll then create data integration workflows using Pentaho Data Integration to refresh your data warehouse. Next, you’ll write SQL statements for analytical query requirements and create materialized views to support summary data management. For data integration workflows and analytical queries, you can use either Oracle or PostgreSQL. Finally, you will use MicroStrategy OLAP capabilities to gain insights into your data warehouse. In the completed project, you’ll have built a small data warehouse containing a schema design, data integration workflows, analytical queries, materialized views, dashboards and visualizations that you’ll be proud to show to your current and prospective employers.

Module 1 introduces the objectives and topics in the course and provides background on the case and software requirements. The capstone course is organized around a realistic case study based on the business situation faced by CPI Card Group in 2015.

What's included

3 videos9 readings

3 videos Total 15 minutes

Course introduction 2 minutes
Course topics and assignments video lesson 8 minutes
Executive interview 5 minutes

9 readings Total 280 minutes

Slides for lesson 1 20 minutes
Slides for lesson 2 30 minutes
Slides for lesson 3 30 minutes
Background on CPI Card Group 30 minutes
Overview of software requirements 10 minutes
PostgreSQL Installation 60 minutes
Pentaho Data Integration installation 60 minutes
MicroStrategy Workstation Software Download and Installation for Microsoft Windows and Mac OS 20 minutes
Database diagramming tools 20 minutes

Module 2 presents the requirements of the first part of the case study involving data warehouse design. To provide a context for the case study, you can listen to an executive interview with a CPI Card Group executive.

What's included

1 video4 readings1 assignment

Module 3 presents requirements for the second part of the case study involving data integration. To provide a context for the case study, you can listen to executive interviews with executives from CPI Card Group, First Bank, and Pinnacol Assurance.

What's included

3 videos7 readings3 assignments

3 videos Total 24 minutes

Executive interview 7 minutes
Executive interview 6 minutes
Executive interview 11 minutes

7 readings Total 530 minutes

Slides for lesson 1 30 minutes
Slides for lesson 2 30 minutes
Slides for lesson 3 30 minutes
Data integration background 10 minutes
Module 3 Assignment 300 minutes
Extended transformation notes and examples 10 minutes
Self-Evaluation for the Module 3 Assignment 120 minutes

3 assignments Total 120 minutes

Reflective Quiz for the Module 3 Assignment 60 minutes
Quiz for the module 3 assignment-Production DW 30 minutes
Practice Quiz for the module 3 assignment-Test DW 30 minutes

Module 4 presents requirements for the third part of the case study involving analytical queries and summary data management.

What's included

1 video4 readings1 assignment

This module continues on the top job responsibilities of BI analysts by focusing on creating data visualizations and dashboards. You will first learn the importance of data visualization and different types of data that can be visually represented. You will then learn about the types of basic and composite charts. This will help you to determine which visualization is most effective to display data for a given data set and to identify best practices for designing data visualizations. In lesson 3, you will learn the common characteristics of a dashboard, the types of dashboards, and the list of attributes of metrics usually included in dashboards. Finally, in lesson 3, you will learn the guidelines for designing a dashboard and the common pitfalls of dashboard design. You will need to use MicroStrategy Desktop Visual Insight to design a dashboard for a Financial Services company in a peer-evaluated exercise.

What's included

2 videos4 readings

2 videos Total 21 minutes

Executive Interview with Matthew Caton of Data Source Consulting 12 minutes
Executive Interview with Tyler Wilson on BI Platform Capabilities at CPI Card Group 9 minutes

4 readings Total 60 minutes

Slides for executive interview with Matthew Caton 30 minutes
Capstone Project Data Visualizations and Dashboard Design Requirements 10 minutes
Earlier Assignments from Course 4 10 minutes
Q & A and Error Knowledge base 10 minutes

This is an extension of Module 5. The peer assessment from module 5 is moved to module 6 to give you more time completing the assignments in prior modules as well as for you to do your peer assessment in this module.

What's included

2 videos1 reading1 peer review

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Instructors

Instructor ratings

(18 ratings)

Michael Mannino

University of Colorado System

4 Courses 259,884 learners

Jahangir Karimi

University of Colorado System

2 Courses 56,621 learners

Offered by

University of Colorado System

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Reviewed on Jun 27, 2023

Good course. This course teaches you to connect data sources to Microstrategy, wrangle and prepare the data for designing visualizations and building dashboards and tell a story with data.

Reviewed on Dec 8, 2016

Excellent contemporary course content and hands on course. Recommended for everyone who wants start or change into exciting career in DWBI.

Reviewed on Jan 1, 2017

Mentor review for the final project takes long time to be completed.

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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.

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