This course is your first step toward mastering the art of data analytics, predictive modeling, and machine learning. Business intelligence lays the foundation for understanding data and analytics in the most impactful way.

°®¶¹´«Ã½

RUTH ARTHUR-ASMAH, MBA, director of analytics and data services at American University and an adjunct instructor. A leader in the data analytics field, she brings a wealth of experience working with statistics and analytics, as well as Big Data in the healthcare information technology industry. Experience includes process improvement, project management, and mentorship at the managerial level. Her focus is the development of analytic products that direct strategy and optimization for an organization. She holds a master¡¯s degree and certificates in data and analytics.

Ruth A Arthur-Asmah
Ruth Arthur-Asmah's courses currently open for enrollment

Business Intelligence Solutions

DBDA.X402
$740
Ruth Arthur-Asmah
Jan. 6 - Apr. 7, Tuesday, 12:01am - 11:59pm
  • Online Self-Paced Work online at your own pace.
DBDA.X402.(804)
Schedule
Date Start Time End Time Meeting Type Location
Tue, 01-06-2026 12:01am 12:02am Online Self-Paced ONLINE
Tue, 04-07-2026 11:58pm 11:59pm Online Self-Paced ONLINE
 

Online Self-Paced courses have a structured learning environment where students are allowed to complete the work at their own pace. Students may complete the coursework early or use the entire duration of the course. This course is largely self-study with instructor guidance and includes online learning modules, assignments, and/or quizzes. All course materials and assignments will be available at the beginning of the course on Canvas, our learning management system.

For this section, student access begins on January 6, but you may still enroll until February 10. All course work must be completed by 11:59 pm on April 7, 2026.

You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.

Required Tools & Materials: Microsoft Power Suite
The course will be based in the following software applications: Microsoft Excel PowerPivot, Power Query and Microsoft Power BI Desktop. Each of these applications can be installed for free on a PC.  The University also supplies a platform to access the software for free for all enrolled students. Instructions for accessing the software will be part of the course. 

Recommended Texts:
Microsoft Business Intelligence Tools for Excel Analysts, Michael Alexander, et al., Wiley, 2014 ISBN: 978-1118821527.

Beginning Power BI: A Practical Guide to Self-Service Data Analytics Edition, 3rd Edition, Dan Clark, Apress Media, LLC, 2020 ISBN: 978-1484256190.

Power Pivot and Power BI: The Excel User's Guide to DAX, Power Query, Power BI &Power Pivot in Excel 2010-2016 Edition: Second Edition, Rob Collie and Avichal Singh, Holy Macro, 2016, ISBN: 978-1615470395.

Beginning Microsoft SQL Server 2012 Programming, Paul Atkinson, Robert Viera, John Wiley & Sons, Inc., 2012, ISBN: 978-1118102282.

Associated Program(s)
Bioinformatics
Data Engineering
Data Science and Data Analytics