Modern standards of data analytics and visualization for audit professionals in

The Data Analytics and Visualization for Auditing Specialists Course is designed to provide corporate auditing specialists with the necessary knowledge and skills to effectively use data analytics and visualization tools in the context of auditing. This course is intended to equip participants with the necessary skills to analyze data, identify trends and anomalies, and effectively communicate findings to stakeholders using visual representations.

Objectives

The objectives of the Data Analytics and Visualization for Auditing Specialists Course are as follows:

Understand the principles and practices of data analytics and visualization in the context of auditing
Develop the necessary skills to effectively use data analytics and visualization tools
Learn how to identify trends and anomalies in data sets
Develop effective communication and presentation skills in the context of data analytics
Understand the legal and regulatory requirements related to data analytics and visualization

Who Should Attend this Course

This course is designed for corporate auditing specialists who are responsible for analyzing data sets and communicating the results of audits to various stakeholders. This includes individuals who are involved in internal audit, compliance, risk management, and other related areas.

Outline for 5 Days

Day 1: Introduction to Data Analytics in Auditing

- Overview of data analytics and visualization in the context of auditing
- Basic statistical concepts and terminology
- Types of data and data structures
- Common data analysis tools and techniques

Day 2: Preparing Data for Analysis

- Data cleaning and data transformation techniques
- Joining and merging data sets
- Dealing with missing data and outliers
- Data quality assessment and assurance

Day 3: Data Analysis Techniques

- Overview of data analysis techniques
- Data visualization techniques
- Identifying trends and anomalies in data sets
- Conducting regression analysis and other statistical techniques

Day 4: Communicating Findings to Stakeholders

- Developing effective communication and presentation skills
- Using visualization tools to effectively communicate findings
- Developing effective data-driven recommendations
- Responding to stakeholder queries and concerns

Day 5: Advanced Topics in Data Analytics and Visualization

- Machine learning and artificial intelligence
- Big data and its implications for auditing
- Ethics and legal considerations in data analytics
- Practical exercises and case studies

Outputs

At the end of the Data Analytics and Visualization for Auditing Specialists Course, participants will be able to:

Understand the principles and practices of data analytics and visualization in the context of auditing
Develop the necessary skills to effectively use data analytics and visualization tools
Analyze and interpret complex data sets
Develop effective communication and presentation skills in the context of data analytics
Understand the legal and regulatory requirements related to data analytics and visualization
Develop data-driven recommendations that drive improvement
Identify and respond to stakeholder queries and concerns.

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.