Overview of BI and Data Analysis
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.
- Analytics process and tools
- Understanding data
- Data warehousing and design
- Big data
- Cloud computing
- Data visualization
- Predictive analytics
- In-memory computing
- Data virtualization
- Artificial Intelligence (AI) and AI Analytics
- Identify and analyze the best BI tools and vendors
Course typically offered: Online in Fall, Winter, Spring, and Summer (every quarter)
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 firstname.lastname@example.org.
Course Number: CSE-41221
Credit: 3.00 unit(s)
Related Certificate Programs: Business Intelligence Analysis, Business Management
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3/28/2023 - 5/27/2023
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.
Khan, Arshad, 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. ...Read More
Self Service Analytics Simplified (Lifetime access) 1st
by Arshad Khan
ISBN / ASIN: 9780100731226
You may purchase textbooks via the UC San Diego Bookstore.
No refunds after: 4/3/2023.
3/28/2023 - 5/27/2023
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
There are no sections of this course currently scheduled. Please contact the Science & Technology department at 858-534-3229 or email@example.com for information about when this course will be offered again.