How to Become a Digital Creator: Your 2025 Guide
January 13, 2025
Article
This course is part of Database Design and Operational Business Intelligence Specialization
Instructor: Tim Carrington
5,917 already enrolled
Included with
(112 reviews)
Recommended experience
Beginner level
No experience in BI or database needed. Experience with at least one programming language is recommended.
(112 reviews)
Recommended experience
Beginner level
No experience in BI or database needed. Experience with at least one programming language is recommended.
Explain different data warehousing architectures and multidimensional data modeling
Develop predictive data mining models, including classification and estimation models
Develop explanatory data mining models, including clustering and association models
Add to your LinkedIn profile
4 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
This course builds on “The Nature of Data and Relational Database Design” to extend the process of capturing and manipulating data through data warehousing and data mining. Once the transactional data is processed through ETL (Extract, Transform, Load), it is then stored in a data warehouse for use in managerial decision making. Data mining is one of the key enablers in the process of converting data stored in a data warehouse into actionable insight for better and faster decision making.
By the end of this course, students will be able to explain data warehousing and how it is used for business intelligence, explain different data warehousing architectures and multidimensional data modeling, and develop predictive data mining models, including classification and estimation models. IN addition, students will be able to develop explanatory data mining models, including clustering and association models.
Welcome to Module 1, Overview of Data Warehousing. In this module, we will overview data warehousing and data warehousing architectures. We will also define the Extract, Transform, Load (ETL) process as well as touch on data warehousing in the cloud and practice these through a short quiz. Finally, in our activity we will differentiate between the Kimball and Inmon design approaches for data warehouse architecture.
7 readings1 assignment1 discussion prompt
Welcome to Module 2, Multidimensional Modeling for Data Warehousing. In this module, we will go over data modeling for data warehousing. We will also learn the steps needed to construct a multidimensional data model and differentiate between star schema and snowflake schema. These will be practiced through a short quiz. Finally, we will create a normalized snowflake schema in our activity.
6 readings1 assignment1 discussion prompt
Welcome to Module 3, Data Mining for Prediction and Explanation. In this module, we will overview the data mining process and data mining methods. We will also identify the steps in a data mining process and differentiate between data mining methods. We will practice identifying these through a short quiz. In our activity, we will also select what data mining methods are best for a particular data set.
5 readings1 assignment1 discussion prompt
Welcome to Module 4, Data Mining for Clustering and Association. In this module, we will go over unsupervised data mining for explanatory modeling. We will also learn the definitions for clustering and segmentation, K-means clustering, association, and market basket analysis and practice these through a short quiz. Finally we will practice identifying clusters in a dataset through our activity.
4 readings1 assignment1 discussion prompt
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Since 1965, the University of California, Irvine has combined the strengths of a major research university with the bounty of an incomparable Southern California location. UC Irvine’s unyielding commitment to rigorous academics, cutting-edge research, and leadership and character development makes the campus a driving force for innovation and discovery that serves our local, national and global communities in many ways.
Universidad Nacional Autónoma de México
Course
University of Colorado System
Course
LearnQuest
Course
Coursera Instructor Network
Course
112 reviews
72.32%
17.85%
4.46%
2.67%
2.67%
Showing 3 of 112
Reviewed on Jan 17, 2023
very simple and straight forward course. Ideal for beginners .
Reviewed on Sep 30, 2022
It is Basic course of Date warehousing and learning, which is very much usefull for Begginers.
Reviewed on Nov 29, 2022
There could have been videos to make everything more clear and assignments too!
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.