Course Objectives

This course will equip students and young professionals with a basic understanding of forensic data analysis. Learners will understand the basics of forensic data analysis including the difference between structured and unstructured data. Finally, students will learn the critical steps in conducting forensic data analysis, common tools and evaluate the results of such data analysis.

Learning Outcomes

Understand the relevance and importance of forensic data analysis in investigations

Prepare and undertake critical initial steps in performing forensic data analysis

Comprehend the difference between structured and unstructured data

Demonstrate basic knowledge with respect to forensic data analysis tools

Learn how to evaluate results of forensic data analysis

What you will learn?

  • Week 1 - Brief introduction to forensic data analysis

  • Week 2 - We will cover:
    - Understanding the requirements
    - Dealing with structured v unstructured data
    - Collection of data
    - Evaluating completeness
    - Performing data validation checks

  • Week 3 - Preparation of relevant data tests
    - Modeling
    - Evaluation of results
    - Re-performance to meet objectives of the investigation

  • Week 4 - Briefly, we will cover:
    - Application of the fraud triangle

  • Week 5 - Briefly, we will cover:
    - Application of Benford’s Law
    - Time chart analysis

Instructor

Ms. Rajarao, is a Chartered Accountant from the Institute of Chartered Accountants of India and a Certified Fraud Examiner from the Association of Certified Fraud Examiners, USA, the world’s largest anti-fraud organization. Ms. Rajarao was the first Indian to be elected to the Board of Regents of the Association of Certified Fraud Examiners (ACFE) and she recently served as the Vice-Chair of the ACFE’s Board of Regents. Ms. Rajarao has over 25 years of experience and expertise in numerous forensic accounting assignments, fraud investigations and regulatory proceedings in India and the United States that required reconstruction of complex financial records, electronic data and large data sets of accounting transactions and documents