Introduction to Data Analytics

Author: Robert K Minniti

CPE Credit:  2 hours for CPAs

This course is designed for individuals who would like to obtain a basic understanding of data analytics and how data analytics can be used by accountants and auditors. We will review the various types of data analytics that are available to accountants and auditors. We will discuss the issues with validity and bias when performing data analytics. Examples of data visualization tools will be provided for participants.

Publication Date: February 2019

Designed For
CPAs, CMAs, CFEs, CFOs, CEOs, employees, staff accountants and anyone who is interested in obtaining a basic understanding of data analytics.

Topics Covered

  • Changing Technology in Business
  • How Much Data Do You Have?
  • Ethics and Data Gathering
  • Where is the Data Located?
  • Data Recovery
  • Data Formats
  • Data Integrity
  • Common Types of Analytical Procedures
  • Normal Distribution of Data
  • Binomial Distribution of Data
  • Random Distribution of Data
  • Data Analysis
  • Types of Data Analytics
  • Performing Data Analysis
  • Data Mining
  • Performing Electronic Data Analysis
  • Designing Procedures for Data Analysis
  • Things to Consider When Using Graphics or Tables
  • Data Visualization
  • Data Visualization Example
  • Validity Considerations
  • Categories of Bias
  • Examples of Conscious Bias
  • Examples of Unconscious Bias
  • Benford's Law Exercise

Learning Objectives

  • Identify and apply various types of data analytics
  • Differentiate data analytics issues with validity and bias when performing data analytics
  • Recognize types of data analytics available
  • Differentiate data bit sizes
  • Describe the speed at which data is generated, collected, and processed
  • Identify how long physical data integrity must be maintained with respect to data integrity
  • Differentiate type of data analytics relates to past performance
  • Identify an example of an external validity concern
  • Describe an example of conscious and unconscious bias
  • Identify an example of unstructured data
  • Differentiate type of analytical procedure provides information
  • Recognize how Bendord's law is used

Level
Basic

Instructional Method
Self-Study

NASBA Field of Study
Auditing (2 hours)

Program Prerequisites
None

Advance Preparation
None

Registration Options
Quantity
Fees
Regular Fee $55.00

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