Data Mining for Auditors: Data Methodologies I

Length: 3h 56m modules icon

Modules: 2 episodes icon

Episodes: 13On DemandIntermediate6.5 CPE Hours

Course 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.

Prerequisites

None

Advanced Preparation

None

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/

Attendance policy for on-demand, self-paced training

Students enrolled in on-demand, self-paced courses are expected to take an active role in their learning by progressing through the course materials in a timely and consistent manner. Because these courses are self-directed, full completion of all modules, videos, labs, and assessments with a passing score of 70 are required to receive credit and any applicable CPEs. Learners are encouraged to set a regular study schedule to stay on track and maximize comprehension. CPE credits will be awarded based on the total course hours and verified completion of all required activities.