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Course

Dashboards and Data Visualization for Data Analysis

CSE-X412.22

 

With the growing amount of data available to businesses, decision-makers must translate strategy into accountability, measure progress against goals, and leverage data for business decision making. Dashboards are used to present and analyzing enterprise performance data, both strategic and operational, and to perform business analysis easily and quickly.

This course will teach dashboards and data visualization technologies, using an approach that will include theory as well as a significant hands-on component. Students will learn how to design and build dashboards, as well as create content of different types that can be incorporated into dashboards.

Topics include:

  • Dashboards and scorecards
  • Key performance indicators
  • Process, architecture and requirements
  • Dashboard design principles
  • Effective data visualization

Practical experience:

  • Perform basic analysis functions in Tableau
  • Develop data visualizations using Tableau
  • Develop a dashboard using Tableau

Software: Students will learn to use Tableau to visualize data. Registration and download information will be provided by the instructor on the start date.

Course typically offered: Online, every quarter 

Prerequisites: None

Next Steps: Upon completion of this class, consider enrolling in other required coursework in the Business Intelligence Analysis Certificate Program

Course Information

Online
3.00 units
$725.00

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This course applies to these programs

Business Intelligence Analysis

Course sessions

Closed

Section ID:

EL00003670

Class type:

Online Asynchronous.

This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.

Textbooks:

Tableau 2026: Mastering Analytics Through Simple Steps by Arshad Khan Publisher: Khan Consulting & Publishing LLC · Publication date: May 1,2026 - ISBN-10:0977283852 or ISBN-13:978-0977283859

Policies:

Drop Refund Deadline:

10/05/2026

Schedule:

No information available at this time.
Closed

Instructor:

Arshad Khan, M.E., MBA
Arshad Khan, M.E., MBA

Business Intelligence Architect, US Navy

Arshad Khan is a retired analytics, business intelligence (BI), and artificial intelligence (AI) professional with 40 years of industry experience. Throughout his career, he led and contributed to numerous analytics, enterprise resource planning (ERP), and technology initiatives, including a machine learning program.

Mr. Khan has held leadership and technical roles across a range of organizations. He led the Tableau development team at Juniper Networks, initiated the analytics program at ABB Digital, served as a BI Architect on a U.S. Navy project, and was Head of Customer Success for an analytics startup.
His industry experience also includes positions with prominent Silicon Valley companies such as Hitachi America, Acuson, and LSI Logic. As a consultant, he has worked with organizations including Deloitte, PwC, Accenture, Chevron, Genentech, DaimlerChrysler, Polycom, PepsiCo, and The Home Depot, among many others.

In addition to his industry career, Mr. Khan has more than three decades of experience in higher education. He has taught as an adjunct instructor at UC San Diego Extended Studies, UC Berkeley, UC Santa Cruz Silicon Valley, Golden Gate University, and Santa Clara University, bringing extensive real-world experience in analytics, business intelligence, enterprise systems, and emerging technologies into the classroom.

Mr. Khan is also the author of 24 books, including seven focused on business intelligence and analytics and four on artificial intelligence. His professional and academic work reflects a longstanding focus on applying technology, data, and analytics to practical business challenges.

Full Bio
add to cart

Section ID:

EL00007757

Class type:

Online Asynchronous.

This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.

Textbooks:

Tableau 2026: Mastering Analytics Through Simple Steps by Arshad Khan Publisher: Khan Consulting & Publishing LLC · Publication date: May 1,2026 - ISBN-10:0977283852 or ISBN-13:978-0977283859

Policies:

Drop Refund Deadline:

01/18/2027

Schedule:

No information available at this time.
add to cart

Instructor:

Arshad Khan, M.E., MBA
Arshad Khan, M.E., MBA

Business Intelligence Architect, US Navy

Arshad Khan is a retired analytics, business intelligence (BI), and artificial intelligence (AI) professional with 40 years of industry experience. Throughout his career, he led and contributed to numerous analytics, enterprise resource planning (ERP), and technology initiatives, including a machine learning program.

Mr. Khan has held leadership and technical roles across a range of organizations. He led the Tableau development team at Juniper Networks, initiated the analytics program at ABB Digital, served as a BI Architect on a U.S. Navy project, and was Head of Customer Success for an analytics startup.
His industry experience also includes positions with prominent Silicon Valley companies such as Hitachi America, Acuson, and LSI Logic. As a consultant, he has worked with organizations including Deloitte, PwC, Accenture, Chevron, Genentech, DaimlerChrysler, Polycom, PepsiCo, and The Home Depot, among many others.

In addition to his industry career, Mr. Khan has more than three decades of experience in higher education. He has taught as an adjunct instructor at UC San Diego Extended Studies, UC Berkeley, UC Santa Cruz Silicon Valley, Golden Gate University, and Santa Clara University, bringing extensive real-world experience in analytics, business intelligence, enterprise systems, and emerging technologies into the classroom.

Mr. Khan is also the author of 24 books, including seven focused on business intelligence and analytics and four on artificial intelligence. His professional and academic work reflects a longstanding focus on applying technology, data, and analytics to practical business challenges.

Full Bio