Data mining for auditors : overview and maximizing the use of data.

Format:

Video

Author/Creator:

Deal, Lauren, author.

Gordan, Adam, author.

Vigil, Stephen, author.

Contributor:

ACI Learning (Firm), instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Data mining.

Auditing, Internal.

Physical Description:

1 online resource (1 video file (2 hr., 29 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this comprehensive video course, learners build a clear foundation in data mining and data analysis. The content connects exploratory analysis with practical ways to analyze differentiate data analytics and data mining concepts. What I will be able to do after this course Analyze differentiate data analytics and data mining concepts Analyze audit data using exploratory analysis techniques Evaluate continuous auditing and risk assessment methodologies Apply data testing procedures during audit activities Assess dashboard visualization and analytical reporting strategies Course Instructor(s) Lauren Deal has found the perfect intersection of her decade of in-classroom teaching experience, her work as a national television host on the Home Shopping Network. Adam Gordan brings more than 40 years of experience as both an educator and IT professional. Stephen Vigil is an internal audit and data analytics professional with a background in public service, investment accounting, and accounting operations. Who is it for? Designed for internal auditors, audit data analysts, assurance professionals, and audit technology users. The beginner level suits newcomers and practitioners refreshing core knowledge. Professionals will benefit most if they want to analyze differentiate data analytics and data mining concepts and analyze audit data using exploratory analysis techniques.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808655579

OCLC:

1613820899