Data Governance: Preparing Your Organization for Data Science, ML, and AI

This course introduces a formal business policy to your organization that values your data assets and prepares you for the future.  The demand for Data Analytics, Data Science, Machine Learning, and Artificial Intelligence is here to stay, but many organizations still need to be ready. 

This course targets working professionals to build or enhance their working environments for Data Analytics and Data Science.  No coding experience is required.

Topics include:

• Introduction to Data Governance, Data Engineering, Data Analytics, and Data Science
• Building a Business Case for Data Governance
• Implementing a Value-Based Data Governance Framework
• Monitoring your Data Governance Policy, People, and Processes
• Preparing for Data Science, Machine Learning, and Artificial Intelligence

Course Benefits:

• Create an Effective Knowledge Base on Data Governance, Data Engineering, Data Analytics, and Data Science
• Define the Current State of Data for your Organization with a Data Governance
• Plan for the Future with Data Analytics and Data Science by Implementing and Monitoring your Data Governance Plan

Course Number: CSE-41397
Credit: 3.00 unit(s)

+ Expand All

1/9/2024 - 3/17/2024

$745

Online

Add To Cart

• SECTION ID:

  177476

• 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.

• INSTRUCTOR:
  

  Foxworthy, John

  John Thomas Foxworthy is a Data Science Veteran with 20 years of professional experience with Consulting Companies, Big Banks, and Hedge Funds.  He completed his Master of Science in Data Science from Northwestern University with a Thesis on Deep Learning Forecasting using Artificial Intelligence for numerical data, images, and text.  His Bachelor's degree is from the University of California, Los Angeles, from the Department of Economics, with a Thesis on the Limits of Econometric Modeling.

• TEXTBOOKS:

  No information available at this time.

• POLICIES:

  No refunds after: 1/15/2024.
  

• NOTE:

• DATE & LOCATION:

  1/9/2024 - 3/17/2024
  extensioncanvas.ucsd.edu
  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.