Advanced Data Analytics With Python/r: Automating Audit Analysis

Introduction:

Unlock the full potential of your audit processes with the power of data analytics. This advanced training course equips auditors with the skills to automate audit tasks and perform sophisticated data analysis using Python or R. Participants will learn to leverage these powerful programming languages to extract, clean, transform, analyze, and visualize data, enabling them to identify risks, trends, and anomalies more efficiently and effectively. This course empowers auditors to move beyond traditional methods and become data-driven strategic advisors, enhancing audit quality and providing deeper insights.

Target Audience:

This course is designed for audit professionals who want to enhance their data analysis capabilities and automate audit processes using Python or R, including:

• Internal Auditors
• IT Auditors
• Data Analysts working in Audit
• Audit Managers
• Anyone seeking to automate and enhance audit analysis

Course Objectives:

Upon completion of this Advanced Data Analytics with Python/R training course, participants will be able to:

• Understand the benefits of using Python/R for audit automation and analysis.
• Write Python/R code to extract, clean, and transform audit data.
• Perform advanced statistical analysis and modeling on audit data.
• Automate repetitive audit tasks using scripting.
• Visualize audit data to communicate insights effectively.
• Identify risks, trends, and anomalies in large datasets.
• Develop custom audit procedures using Python/R.

• Integrate Python/R with existing audit tools and systems.
• Improve audit efficiency and effectiveness through automation.
• Provide data-driven insights and recommendations to management.
• Enhance their understanding of data analytics best practices.
• Contribute to a more data-driven and strategic internal audit function.
• Stay up-to-date with the latest trends in data analytics for audit.
• Become a more valuable and sought-after audit professional.
• Choose the appropriate language (Python or R) based on specific needs.

DURATION

5 Days

COURSE CONTENT

Module 1: Introduction to Python/R for Audit Automation

• Why Python/R for Audit? Benefits over traditional tools.
• Setting up the development environment (installing Python/R, IDE, libraries).
• Basic syntax and data structures (variables, lists, dictionaries/vectors, data frames).
• Introduction to key libraries for data manipulation (Pandas/dplyr), analysis (NumPy/base R stats), and visualization (Matplotlib/ggplot2).
• Choosing between Python and R for specific audit tasks.

Module 2: Data Extraction and Cleaning with Python/R

• Connecting to various data sources (databases, CSV, Excel, APIs).
• Data import and export techniques.
• Data cleaning techniques: handling missing values, duplicates, inconsistencies.
• Data transformation: filtering, sorting, merging, aggregating data.
• Automating data cleaning and preparation steps.

Module 3: Advanced Data Manipulation and Transformation

• Working with large datasets efficiently.
• Advanced data manipulation techniques: string manipulation, regular expressions, date/time handling.
• Creating custom functions for data transformation.
• Data reshaping and pivoting.
• Optimizing data manipulation code for performance.

Module 4: Statistical Analysis for Audit Insights

• Descriptive statistics and data summarization.
• Hypothesis testing and statistical significance.
• Regression analysis and correlation.
• Time series analysis for trend identification.
• Applying statistical methods to specific audit areas (e.g., fraud detection, risk assessment).

Module 5: Data Visualization for Effective Communication

• Creating informative and visually appealing charts and graphs.
• Data visualization best practices for audit reporting.
• Building interactive dashboards for audit insights.
• Customizing visualizations for different audiences.
• Communicating data-driven narratives through visuals.

Module 6: Automating Audit Tasks with Python/R

• Scripting for repetitive audit tasks (e.g., data extraction, report generation).
• Building custom audit procedures using Python/R.
• Integrating Python/R with existing audit tools and systems.
• Scheduling and automating audit scripts.
• Developing reusable audit modules and functions.

Module 7: Advanced Analytical Techniques for Audit

• Anomaly detection and outlier analysis.
• Fraud detection using machine learning techniques (if applicable).

• Predictive modeling for risk forecasting.
• Text mining and sentiment analysis for qualitative data.
• Applying advanced analytics to specific audit areas.

Module 8: Building Custom Audit Applications

• Developing small-scale applications for specific audit needs.
• Integrating data analytics with audit workflows.
• Creating user interfaces for audit applications (basic web frameworks or Shiny for R if chosen).
• Deploying and sharing audit applications.

Module 9: Best Practices and Future Trends in Data Analytics for Audit

• Data governance and security considerations.
• Ethical implications of using data analytics in audit.
• Staying up-to-date with emerging data analytics technologies and trends.
• Best practices for data-driven audit reporting and communication.
• The future of data analytics in internal audit.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.