Data Mining for Auditors: Data Methodologies I
Overview
Data Mining for Auditors: Data Methodologies I Overview
Data mining and data analytics have become essential for internal auditing success. As the number and sophistication of tools increases, and organizations collect increasing amounts of data, auditors have a wide range of options to improve their risk assessment, planning, fieldwork, and reporting activities.
Topics covered include pivot tables, Poisson distribution, binomial distribution, linear regression, moving averages, pivotal points of change analysis, measures of dispersion, mean dispersion analysis, and several demonstrations.
Who Should Attend
Compliance Officers, Audit Managers and Directors, Financial, Operational, and IT Auditors, and key operational personnel.
Learning Style
On Demand
Level
Intermediate
Includes
Assessment
Who this course is for
Compliance Officers, Audit Managers and Directors, Financial, Operational, and TI Auditors, and key operational personnel.
NASBA Certified CPE
6.5 credits
Field of Study
Auditing
Length of course
6.5h
Advanced Preparation
None
13 Episodes
Here are the topics we'll cover
- Course Overview
- Data Methodologies Overview
Learning Options
Options for this course
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ACI Learning is registered with NASBA
ACI Learning is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: https://www.nasbaregistry.org/