California Association of State Auditors

This course does the following: (1) defines big data; (2) describes how it is used in business and the

accounting profession; (3) describes the types of business analytics; (4) describes the types of decision

models used to analyze data; (5) defines descriptive statistics; and (6) provides an overview of data

visualization.

In addition this course addresses: (1) addresses opportunities associated with Big Data and data

analytics; (2) covers the steps in data analysis; (3) covers the types of data used in data analysis; (4)

discusses common statistical analysis procedures; (5) introduces data visualization techniques for

optimal reporting; and (6) presents current trends in the use of big data and data analytics in the

accounting profession.

Learning Objectives

After completing this course, the learner should be able to:

• Define big data

• Identify the business implications of big data

• Identify the implications of big data for the accounting profession

• Recognize the types of business analytics

• Recognize the types of decision models used to analyze data

• Define descriptive statistics

• Recognize data visualization

• Recognize how big data can be combined with existing data for deeper insights

• Identify the steps in data analysis

• Identify the types of data used in data analysis

• Recognize common statistical analysis procedures

• Recognize how to use Microsoft Excel to perform trend analysis and regression analysis

• Apply data visualization techniques for optimal reporting

• Identify current trends in the use of big data and data analytics in the accounting profession

Day One – 4 CPE Credits 
•          Foundations in Data and Analytics for the Accounting Profession 
•          Performing and Interpreting Data Analytics for Accounting Professionals 
Instructor: Ann Dzuranin will be presenting on Day 1 
Date: Monday March 15th from 8:30 am to 12:30 pm PST.
            
Day Two – 4 CPE Credits 

• Data Analytics Using IDEA: Audit Analytics 
• Privacy Regulations and Risk Assessment 

Instructor: David Wang will be presenting on Day 2 
Date: Tuesday March 16^th from 8:30 am to 12:30 pm PST.

Program level: Basic
Prerequisites: None
Advanced Preparation: None
Field of Study: Information Technology
Recommended CPE: 8 credits
Instructional Method: Internet based This course will be held online.