Overview of BI and Data Analysis
CSE-41221
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 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:
Self-Service Analytics Simplified 1st
by Khan, Arshad
ISBN / ASIN: 9780966086355
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:
Self Service Analytics Simplified (Lifetime access) 1st
by Arshad Khan
ISBN / ASIN: 9780100731226
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.
