This Data
Analysis for Internal Auditing training course is essential for professionals
looking to enhance their auditing capabilities with data-driven insights. In
today's data-centric world, internal auditors need more than traditional
auditing skills; they need advanced data analysis techniques to identify risks,
detect anomalies, and provide actionable insights. This training course equips
you with the knowledge and tools to leverage data effectively, transforming
your auditing process from routine checks to proactive, strategic
decision-making.
			
Objectives:
			
At the end
of this Data Analysis for Internal Auditing training course, you will learn to:
			
Understand
the principles of data analytics in auditing.
			
Develop
data-driven audit strategies and approaches.
			
Analyze
datasets to identify patterns and anomalies.
			
Apply
advanced tools for effective data analysis.
			
Design risk
management frameworks using data insights.
			
Course
Outline
			
DAY 1
			
Introduction
to Data Analysis and Auditing
			
Overview of
Data Analysis in Auditing
			
Fundamentals
of Data Analytics
			
Understanding
Audit Objectives
			
Data
Collection Methods
			
Data
Cleaning and Preparation
			
Introduction
to Data Analysis Tools
			
DAY 2
			
Advanced
Data Analysis Techniques
			
Exploratory
Data Analysis (EDA)
			
Statistical
Analysis Methods
			
Data
Visualization Techniques
			
Trend
Analysis
			
Anomaly
Detection
			
Data
Correlation and Regression Analysis
			
DAY 3
			
Integrating
Data Analysis with Audit Processes
			
Designing
Data-Driven Audit Plans
			
Risk
Assessment and Data Analytics
			
Creating
Effective Audit Queries
			
Data
Sampling Techniques
			
Benchmarking
and Performance Metrics
			
Integrating
Analytical Findings into Reports
			
DAY 4
			
Advanced
Tools and Techniques
			
Advanced
Excel Techniques
			
SQL for Data
Retrieval and Analysis
			
Data
Analytics Software Overview
			
Automating
Data Analysis
			
Big Data and
Its Impact on Auditing
			
Integrating
Data Sources
			
DAY 5
			
Applying
Skills and Future Trends
			
Practical
Application of Skills
			
Ethics and
Data Privacy in Auditing
			
Emerging
Trends in Data Analytics
			
Developing a
Data-Driven Audit Strategy
			
Communicating
Findings Effectively
			
Evaluating
Audit Performance