Data Analytics for Audit training course: From Beginner to Advanced in

Introduction

This training course is designed for Assistant Internal Auditors who want to enhance their data analytics skills for audits. The course covers four key areas: Audit Accounting Standards, Audit Techniques, Organization & Planning, and Audit Report Writing. Participants will learn how to use data analytics tools and techniques to enhance their audit projects, improve the accuracy and efficiency of their audits, and produce clear and effective reports.

Outputs

By the end of the course, participants will be able to:
- Understand and apply Audit Accounting Standards in the context of data analytics.
- Utilize various audit techniques and tools to analyze data.
- Plan and organize audits efficiently using data analytics.
- Write clear and effective Audit Reports incorporating data analytics findings.

Objectives

The objectives of this course are to:
- Provide participants with a comprehensive understanding of data analytics for audit.
- Enhance their knowledge and skills in Audit Accounting Standards, Audit Techniques, Organization & Planning, and Audit Report Writing.
- Give participants hands-on experience in applying data analytics tools and techniques to real-life audit scenarios.
- Equip participants with the tools and techniques needed to conduct successful data-driven internal audits.

Who Should Attend this course

This course is designed for Assistant Internal Auditors who want to enhance their data analytics skills for audits. It is also suitable for those who are looking to expand their knowledge in Audit Accounting Standards, Audit Techniques, Organization & Planning, and Audit Report Writing.

Outline

Day 1: Audit Accounting Standards & Data Analytics

- Introduction to Audit Accounting Standards and Data Analytics.
- Overview of GAAS and GAAP in the context of data analytics.
- Understanding and applying Audit Accounting Standards in data analytics projects.

Day 2: Audit Techniques & Data Analysis Tools

- Introduction to audit techniques and data analysis tools.
- Overview of common data analysis tools such as Excel, SQL, R, and Python.
- Hands-on exercises in using data analysis tools for audits.

Day 3: Organization & Planning for Data Analytics Audits

- Introduction to project management and planning for data analytics audits.
- Overview of the audit project life cycle in the context of data analytics.
- Organizing and planning data analytics audit projects.
- Case studies in project management and planning for data analytics audits.

Day 4: Audit Report Writing & Data Analytics Findings

- Introduction to Audit Report Writing and incorporating data analytics findings.
- Overview of report writing standards in the context of data analytics.
- Writing effective Audit Reports incorporating data analytics findings.
- Case studies in Audit Report Writing with data analytics.

Day 5: Putting it All Together

- Integration of Audit Accounting Standards, Audit Techniques, Organization & Planning, and Audit Report Writing with data analytics.
- Team building exercises and case studies on data-driven internal audits.
- Final project presentation and feedback.
- Closing and certificate ceremony.

Throughout the course, participants will have the opportunity to work on practical exercises and case studies to apply the concepts and skills they have learned. The course will also include interactive discussions and opportunities for participants to share their experiences and insights.