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Course Description

This Audit & Analytics training is critical in today's data-driven world because it allows organizations to leverage the power of data to gain deeper insights into their financial performance, identify risks and anomalies, and improve the efficiency and effectiveness of their audit processes. By combining traditional auditing techniques with advanced data analytics tools and methodologies, organizations can detect fraud, assess risks more accurately, and provide greater assurance to stakeholders.

Course Objectives

Upon the successful completion of this course, each participant will be able to:

  • Understand the key principles of effective innovation management
  • Understand the fundamentals of data analytics and its application in auditing
  • Identify and extract relevant data sources for audit purposes
  • Perform data cleansing, transformation, and visualization techniques
  • Apply data analytics techniques for risk assessment and fraud detection
  • Develop and execute audit programs using data analytics tools
  • Communicate audit findings effectively using data visualizations and reports
  • Understand the ethical and legal considerations of using data in auditing
  • Stay current with emerging trends and technologies in audit analytics

Who Should Attend?

This course is designed for Auditors (Internal and External), Data Analysts, Risk Managers, Financial Professionals, Investigators & anyone interested in leveraging data for audit and risk assessment.

Course Agenda

Day 1

Registration, Welcome & Introduction

Pre-Test

Introduction to Audit & Analytics

  • What is Audit & Analytics?
  • Benefits of using data analytics in auditing
  • Key concepts: Big Data, Data Mining, Predictive Modeling
  • Types of data used in audits (financial, operational, customer, etc.)
  • Data sources and data collection methods
  • Introduction to data visualization tools (Tableau, Power BI, Excel)
  • Creating basic charts and dashboards
  • Data storytelling and presentation techniques

Day 2

Data Preparation and Exploration

  • Data cleansing and transformation techniques

                   √    Handling missing values, outliers, and inconsistencies

                   √    Data normalization and standardization

  • Data exploration and visualization

                   √    Descriptive statistics

                   √    Data profiling and segmentation

Day 3

Risk Assessment and Fraud Detection

  • Risk assessment methodologies using data analytics

                   √    Risk scoring and modeling

                   √    Key Risk Indicators (KRIs)

  • Fraud risk factors and red flags
  • Techniques for fraud detection

                   √    Anomaly detection

                   √    Benford's Law analysis

                   √    Regression analysis

Day 4

Advanced Analytics Techniques

  • Predictive modeling techniques

                   √    Regression, decision trees, and machine learning algorithms

  • Text mining and natural language processing
  • Social network analysis

Day 5

Audit Reporting and Best Practices

  • Communicating audit findings using data visualizations
  • Developing audit reports with data-driven insights
  • Automation of audit tasks using scripting and APIs
  • Ethical and legal considerations of using data in auditing
  • Data privacy and security
  • Emerging trends and technologies in audit analytics

Post-Test

End of the Course

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.

Percentages of the total course hour classification are:

  • ​40% Theoretical lectures, Concepts and approach
  • 20% Motivation to develop individual skill and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as reference manual. This presentation material is a compilation of core valuable information, references, presentation methods and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why Edtech ?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.