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Specialization - 3 course series
The goal of this specialization is to provide a comprehensive and holistic view of business intelligence and its enabling technologies, including relational databases, data warehousing, descriptive statistics, data mining, and visual analytics. Through this series of courses, you will explore relational database design, data manipulation through Extract/Transform/Load (ETL), gaining actionable insight through data analytics, data-based decision support, data visualization, and practical, hands-on experience with real-world business intelligence tools.
Applied Learning Project
Each module, students will participate in an authentic assessment of that module's concepts and skills. At the end of the specialization, students will apply their new skills by converting business data into an interactive visual analytics dashboard.
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These courses are introductory, no experience in BI or database is needed. Experience with at least one programming language is recommended.
The recommended order for the courses is as follows:
1. The Nature of Data and Relational Database Design
2. Data Warehousing & Business Intelligence
3. Business Intelligence & Visual Analytics
You will receive a certificate but university credit is not awarded.
Upon completion of the Specialization, students will be able to do the following:
Describe what business intelligence (BI) is and what it does
Demonstrate structured data modeling and ETL (Extract, Transform, Load)
Gain practical SQL coding experience
Develop an in-depth understanding of data warehouse design and data manipulation
Design relational databases (RDBMS)
Explain types of SQL: DDL and DML
Describe data warehousing and multidimensional data modeling
Develop simple supervised and unsupervised data mining models
Differentiate between data visualization and visual analytics
Create data visualizations and dashboards and Visual Analytics: SAS Viya
Explain BI and data warehousing in the Cloud
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
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! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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.
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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.