Computer Science  |  Format: Flash

Data Analytics

Course Overview
This course provides an overview of data analytics with a specific focus on artificial intelligence, big data, and the technologies that assist in the audit process. This course also addresses various data analytic techniques, the blockchain, as well as a discussion of the types of audit sampling methods and journal entry testing procedures.

Learning Objectives

  • Recognize key principles and practices with respect to data analytics
  • Identify what is meant by artificial intelligence and big data
  • Recognize key principles related to the blockchain and cryptocurrency
  • Differentiate between various types of CAATs and sampling techniques
  • Identify various types of data analytic techniques

    Catalog Number: 99TAT01
    CPE Credits: 2 Registry / 2 QAS
    Author: John Tate
    Advanced Preparation:
    Course Level: Basic
    Field of Study: Information Technology
    Content Partner: SmartPros Ltd.
    QAS: QAS Certified based on 50 minute hours.
    Course Type: Self-Study
    Minimum Passing Grade: 70%
    Soft/Hardware Reqs.:  Adobe Acrobat® Reader for the .pdf files
     Adobe® Flash® Player 9 or higher
     56k or Greater Internet Connection
     Modern DHTML Compatible Browser
     Ram: 256 MB minimum
     Windows or Mac OS
    Release/Expiration Dates: Oct 08, 2018 / Dec 31, 2020