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Course

Overview of BI and Data Analysis

CSE-X412.21

 

As the amount of data companies collect continues to grow at a rapid rate, the ability to effectively transform that data into actionable information has become paramount for business growth and success. Business intelligence (BI) and data analytics enables businesses to make better decisions, improve processes, discover efficiencies, support customers, and reduce costs.

In this course, students will learn the complete analytics cycle, from determining requirements to extracting and disseminating information. It will cover the process, technologies, applications, tools, and skills required to analyze data so that informed and timely decisions can be made.

Students will also be introduced to Artificial Intelligence (AI), its relationship with data analytics and its impact. Various aspects of AI will be covered including its background, benefits, risks and challenges, as well as its future and careers. The course will also encompass how to measure AI and simulate intelligence, AI components and sub-domains, AI categories, its tools and analytics.

Topics include:

  • Analytics process and tools
  • Understanding data
  • Data warehousing and design
  • Big data
  • Hadoop
  • Cloud computing
  • Data visualization
  • Predictive analytics
  • In-memory computing
  • Data virtualization
  • Artificial Intelligence (AI) and AI Analytics

Practical experience:

  • Identify and analyze the best BI tools and vendors

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.

More Information: For more information about this course, please contact appliedscience@ucsd.edu. 

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:

EL00003242

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:

Self-Service Analytics Simplified: How to Plan and Implement (paperback) - Author: Arshad Khan - ISBN: 978-0966086355

Policies:

Drop Refund Deadline:

09/30/2026

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:

EL00007756

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:

Self-Service Analytics Simplified: How to Plan and Implement (paperback) - Author: Arshad Khan - ISBN: 978-0966086355

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