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.

Topics include:

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

Practical experience:

• Identify and analyze the best BI tools and vendors

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 Number: CSE-41221
Credit: 3.00 unit(s)
Related Certificate Programs: Business Intelligence Analysis, Business Management

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6/24/2019 - 8/23/2019

$695

Online

Closed

• SECTION ID:

  141102

• CLASS TYPE:

  Online, Web-based instruction

• INSTRUCTOR:
  

  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

• TEXTBOOKS:

  No information available at this time.

• POLICIES:

  No refunds after: 6/30/2019.
  

• NOTE:

  Required Textbook: Title: Self-Service Analytics Simplified: How to Plan and Implement Author: Arshad Khan Pub date: June 2019 NOTE: This eBook is only available online through the UCSD Bookstore. The link for this is not yet live, but should be soon. Instructor will also provide information on how to obtain via syllabus and Blackboard. ISBN: Pending link above

• DATE & LOCATION:

  6/24/2019 - 8/23/2019
  ucsdextension.blackboard.com
  You will have access to your course on the published start date.