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Professional Certificate in

Fraud Analytics Course

Become an expert in Fraud Analytics with ‘Certification Course in Fraud Analytics’ you will emerge as a professional ready to grab innumerable opportunities and boost your career in the space of investigating team with Statistical Analysis, Machine Learning, Predictive Analytics, and many more.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Get Quiz Questions and Use Cases
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Fraud Analytics course - 360digitmg
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Fraud Analytics is described as the application of analytics technology and techniques along with domain experts to detect fraudulent transactions done with the intent of fraud or bribery either before or after the transaction takes place. The job of data analyst who is specialised in Fraud Analytics will gather and store the relevant data and process it to study the patterns, anomalies, and dispensaries. The story narrated by the data will help analysts to get more insights that can help a company in managing any potential threats that occur in future.

A Data analytics approach is used to understand the data to detect the anomalies through outliers existing in the data which indicates an irregular pattern. Fraud Detection helps in applying statistical sampling techniques for better understanding of data. The major types of occupational fraud are reviewed and specific data analytical detection tests.

Fraud Analytics

Program Cost

INR 12,000/-

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Overview of Fraud Analytics Course

Fraud analytics combines analytic technology and techniques with human interaction to help detect potential improper transactions, such as those based on fraud and/or bribery, either before the transactions are completed or after they occur. The process of fraud analytics involves gathering and storing relevant data and mining it for patterns, discrepancies, and anomalies. The findings are then translated into insights that can allow a company to manage potential threats before they occur as well as develop a proactive fraud and bribery detection environment. In areas of anti-fraud, anti-bribery, and anti-money laundering, the regulatory environment has tightened. At the same time, fraud, corruption, and abuse are unrelenting—and constantly evolving. It’s a different world out there. And fraud analytics can help make sense of it.
Goals
Adding analytics to this mix can significantly expand fraud detection capabilities, enhancing the “white box” approach of the rules-based method.
Identify hidden patterns, Enhance and extend existing efforts
Use unstructured data to improve organisational processes and efficiency.
Use the Predictive Modelling features for planning
Objective
ML Algorithm trained to Identify concealed observations from any normal observations.
Challenges
Changing Patterns over time.
Imbalance in the Classification of Fraud detection Model.
Time consuming in feature generation.

Fraud Analytics Course Training Learning Outcomes

This course provides analytical skills to Identify different hidden patterns for the data using various Machine Learning techniques and deep learning mechanisms. Also, Unsupervised or non-rules-based analyses driven by analytics technology can help in drawing new patterns and scenarios that are not upto the mark in traditional approach. Data Analytics will be beneficial as an extra layer for existing effort by enhancing statistical skill sets.
This course is designed as per the market trends which enhance the required skills. A lot of emphasis is given on important topics such as Fraudulent Analytics using Time series forecasting, various kinds of Analytics, Applications of Data Optimization, and many more. The concepts are based on real-time use cases so that the participants can understand the exact work environment.

  • Work with various information sources
  • Analyse structured and unstructured data using different tools and techniques
  • Develop an understanding of descriptive and predictive analytics
  • Apply data-driven, machine learning approaches for HR functions such as attrition prediction
  • Understanding how surveys work and perform analytics on them
  • Use ML techniques to create a personalized experience for employees
  • Use data visualisation concepts to represent data for easy understanding

Fraud Analytics Course Modules

The digital world is built on the walls of data and this course is designed thinking about the future. Fraud analytics is into all data and combining it to provide different strategies for predictive insights that can be used for optimising the fraudulent activities. In this module on Fraud analytics course, you will learn about the various systems and machine learning models of Fraud analytics course and how it predicts illegal transactions or irregular patterns from data. You will also learn how Deep Learning is understanding the pattern from the data. Along with the various advanced fraud analytics techniques, you will also learn regarding Data Privacy and Security.

Understanding an overview of Data Analytics and their importance in the stream of Fraudulent detection using statistical analysis and also the vital role of data analytics in Fraud detection using Artificial Intelligence and Machine Learning.

Understanding different stages of Analytics with the help of Mind map of Data science which includes understanding of data using graphical representation. Machine learning algorithms that help for data analytics followed with various error functions & the appropriate validation methodology helps in a strong foundation for the course.

Understanding Descriptive statistics with various Business moments decisions that are part of preprocessing will help you continue the course.

Understand K-Means clustering model which is Unsupervised Machine Learning model for fraud analytics for better predictions.

Understanding Supervised Classification Machine Learning Model and their prerequisites and importance for fraud analytics to classify the irregular pattern detection in unbalanced data.

Understand how Supervised Machine learning method deals with continuous data in analysing unbalanced data to predict fraudulent behaviour in unbalanced data.

Better Understanding of different Classification models in segmenting the unbalanced data and their comparisons for better accuracy.

With the basic knowledge of Deep learning and their methods for data analytics helps in making better predictions and classification with improved accuracy.

Tools Covered
  • HR analytics course using python
  • HR analytics training using r programming
  • HR analytics training using r studio programming

GenAI assistants and models

  • ChatGPT
  • Claude
  • Gemini
  • Llama
  • Perplexity

AI-assisted and vibe coding

  • GitHub Copilot
  • Cursor
  • Claude Code
  • Replit

Agentic AI frameworks

  • LangChain
  • Hugging Face
  • Ollama

Zero-code AI automation

  • n8n
  • Zapier
  • Make

Deploy and MLOps

  • MLflow
  • Streamlit
  • Docker
  • Databricks
  • AWS
  • Google Cloud

Trends in Fraud Analytics Course

Although a majority of the companies have stringent mechanisms and strategies to counter fraud, it has become a tedious task. The application of Data Analytics to fraud detection will help companies in preventing and identifying future frauds. Individuals involved in fraud leave digital prints and with the help of fraud analytics companies get a chance to prevent further harm. Fraud Analysts take advantage of new tools and techniques to mine data and process it to pre-detect instances of fraud, potentially before they occur. This is a welcome change in these times as anti-fraud, anti-bribery, and anti-money laundering, the regulatory environment has become active. Although fraud detection has evolved, simultaneously fraud, corruption, and abuse are evolving constantly. Fraud Analytics will curb bribery and fraud.

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    Unlimited Mock Interview and Quiz Session
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    Hands-on Experience in Live Projects
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Certificate

Earn a Fraud Analytics Course certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Fraud Analytics Course Certificate is your passport to an accelerated career path.

Fraud analytics certification course - 360digitmg

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FAQs for Fraud Analytics Training Program

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.

Jobs in the field of Analytics

Jobs in the field of Analytics

In the field of Analytics, there are various job roles and positions available for professionals. These include Fraud Analytics Manager, Fraud Analyst, Data Analyst specializing in Fraud Analytics, Fraud Investigator, Fraud Risk Manager, and Fraud Detection Specialist. These roles involve gathering and analyzing data to detect fraudulent activities, identifying patterns and anomalies, conducting investigations, managing fraud risks, and implementing strategies to prevent fraud. Professionals in these positions play a crucial role in protecting organizations from financial losses and reputational damage caused by fraudulent activities.

Salaries for Analytics Course

Salaries for Analytics Experts

In the field of Fraud Analytics, salaries for experts vary based on factors such as experience, qualifications, and location. On average, a Fraud Analytics Manager can earn around 8,00,000 lakhs per annum in India. A Fraud Analyst can expect an average salary of 6,00,000 lakhs per annum. Data Analysts specializing in Fraud Analytics can earn an average salary of 5,50,000 lakhs per annum. These figures serve as general estimates and may vary depending on the specific organization and industry.

Analytics Course Projects

Analytics Course Projects

In the field of Fraud Analytics, undertaking course projects can greatly enhance knowledge and skills. Some potential project areas include Fraud Detection and Prevention, Fraud Risk Assessment, Analyzing Patterns of Fraudulent Activities, Investigating Financial Fraud Cases, and Developing Fraud Analytics Models. These projects provide hands-on experience in gathering and analyzing data, applying fraud detection techniques, identifying anomalies, and developing strategies to mitigate fraud risks. Engaging in such projects allows individuals to apply their theoretical knowledge in practical scenarios and gain valuable insights into the field of fraud analytics.

Role of Open Source Tools in Analytics Course

Role of Open Source Tools in Analytics

Open source tools like R, RStudio, and Python are essential in fraud analytics. They enable analysts to analyze and visualize large datasets, customize code, and develop effective fraud detection models, enhancing the efficiency and accuracy of fraud analytics processes.

Modes of Training for Analytics Course

Modes of Training for Analytics Course

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Analytics Course

Industry Application of Analytics Course

In the field of Fraud Analytics, the application of analytics is instrumental in detecting and preventing fraudulent activities. It is used to analyze patterns, anomalies, and discrepancies in financial transactions, identify potential fraud risks, conduct investigations, and implement strategies to mitigate fraud. Fraud analytics helps organizations safeguard against financial losses and protect their reputation from fraudulent activities.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.

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