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4 - AAU - Accounting and Financial Auditing

AAU 205 - Data Analysis for Internal Auditors

Code	Start Date	Duration	Venue
AAU 205	11 November 2024	5 Days	Istanbul	Registration Form Link
AAU 205	16 December 2024	5 Days	Istanbul	Registration Form Link
AAU 205	03 February 2025	5 Days	Istanbul	Registration Form Link
AAU 205	10 March 2025	5 Days	Istanbul	Registration Form Link
AAU 205	26 May 2025	5 Days	Istanbul	Registration Form Link
AAU 205	21 July 2025	5 Days	Istanbul	Registration Form Link
AAU 205	15 September 2025	5 Days	Istanbul	Registration Form Link
AAU 205	10 November 2025	5 Days	Istanbul	Registration Form Link
AAU 205	22 December 2025	5 Days	Istanbul	Registration Form Link

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Course Description

Executing a cost-effective and value-added audit requires an understanding of population analysis. Without this knowledge, you run the risk of spreading your resources and your sampling over low risk subsets of the population. This could result in crucial data not being collected. In this course, you will learn when and how to use population analysis in the planning phase of the audit and how to identify subsets of the population that behave differently from a benchmark data set.

Course Objectives

Summarize introductory terminology and methodology related to Data Analysis.
Understanding the conditions and methodology of population sampling
Determine the measure of hypothesis tests
Evaluate the important data needed and how to gather it
Practice some statistical methods

Who Should Attend?

Junior Internal Auditors
Internal Audit Specialist
Auditors
Managers
Executives working in both the public and private sectors

Course Details/Schedule

Day 1

Concepts of big data
Transforming data analytics to business
Internal Auditor's function through the use of data and analytics
Use of Data through the Audit Lifecycle
Identify how data analytics can transform all parts of the audit lifecycle, from planning, risk assessment, execution, reporting, and through to monitoring

Day 2

Recognising the data analytics maturity continuum
Collecting and enriching data can be used for analysis,
Understanding the audit environment better
Identifying risks during the planning

Day 3

Different types of analytics
Descriptive, predictive, and prescriptive analytics
Analytical techniques to auditing a business process
The use of advanced analytics, such as machine learning, within audit testing

Day 4

How to build the strategy around a data-enabled
Internal Auditor function, considering people, process and technology
The Landscape of tools applicable to data auditing

Day 5

Methods to create impact and the business case for data analytics
Identify areas within your existing IA function that can be improved via data

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SAHARA Group Training and Consultancy INC (in Turkish: SAHARA Group Eğitim ve Danışmanlık AŞ)

Tax Office: Beyoğlu (Istanbul/Turkiye,Tax No: 7390525151 (Vergi Dairesi: Beyoğlu (İstanbul), Vergi No: 7390525151)

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06	TTC 115	5	Road Engineering Orientation Programme
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11	TTC 135	5	Basic Railway Engineering
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37	SRM-ON 130	5	Emergency Response Planning (ERP)

(Click Category to List Courses)

4 - AAU - Accounting and Financial Auditing

AAU 205 - Data Analysis for Internal Auditors

Course Description

Course Objectives

Who Should Attend?

Course Details/Schedule

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Day 2

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Day 5

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