Dashboards and Data Visualization for Data Analysis
CSE-41222
Dashboards and Data Visualization for Data Analysis
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 in Fall, Winter, Spring, and Summer (every quarter)
Prerequisites: None.
Next Steps: Upon completion of this class, consider enrolling in other required coursework in the Business Intelligence Analysis Certificate Program.
More Information: For more information about this course, please contact unex-techdata@ucsd.edu.
Course Information
Course sessions
Section ID:
Class type:
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 2023 1st
by Khan, Arshad
ISBN / ASIN: 9780977283873
You may purchase textbooks via the UC San Diego Bookstore.
Policies:
- No refunds after: 9/30/2024
Schedule:
Instructor:
Arshad Khan, M.E., MBA
Business Intelligence Architect, US Navy
Arshad Khan is an experienced analytics professional who has over 30 years of experience, including 17 years as a consultant in engineering, SAP and business intelligence. Currently, he is working as a consultant on the Self-Service Analytics (SSA) project at UCSF.
Mr. Khan has led numerous BI/Analytics projects, including a machine learning project as program manager. He led Tableau development at Juniper Networks, initiated the analytics program at ABB Digital, and was the BI Architect for the Navy project.
Mr. Khan has also worked for well-known Silicon Valley companies including Hitachi-America, Acuson, and LSI Logic. He has also consulted for Deloitte Consulting, PwC, Accenture, Chevron, Genentech, DaimlerChrysler, Polycom, PepsiCo, Home Depot as well as many other clients.
For over 20 years, Mr. Khan has been an adjunct instructor at UC Extensions (San Diego, Berkeley, and Santa Cruz), Golden Gate University and Santa Clara University. Mr. Khan has authored 15 books, including six on business intelligence, as well as Jumpstart Tableau.
Section ID:
Class type:
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 2023 1st
by Khan, Arshad
ISBN / ASIN: 9780977283873
You may purchase textbooks via the UC San Diego Bookstore.
Policies:
- No refunds after: 1/20/2025
Schedule:
Instructor:
Arshad Khan, M.E., MBA
Business Intelligence Architect, US Navy
Arshad Khan is an experienced analytics professional who has over 30 years of experience, including 17 years as a consultant in engineering, SAP and business intelligence. Currently, he is working as a consultant on the Self-Service Analytics (SSA) project at UCSF.
Mr. Khan has led numerous BI/Analytics projects, including a machine learning project as program manager. He led Tableau development at Juniper Networks, initiated the analytics program at ABB Digital, and was the BI Architect for the Navy project.
Mr. Khan has also worked for well-known Silicon Valley companies including Hitachi-America, Acuson, and LSI Logic. He has also consulted for Deloitte Consulting, PwC, Accenture, Chevron, Genentech, DaimlerChrysler, Polycom, PepsiCo, Home Depot as well as many other clients.
For over 20 years, Mr. Khan has been an adjunct instructor at UC Extensions (San Diego, Berkeley, and Santa Cruz), Golden Gate University and Santa Clara University. Mr. Khan has authored 15 books, including six on business intelligence, as well as Jumpstart Tableau.
