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Home / Analytics Specializations / Fraud Analytics Course
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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.
INR 12,000/-
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.
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.
16 hours
Classroom Sessions
20 hours
Python Programming Videos
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.
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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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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.
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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.
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.
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.
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.
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.
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.
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.
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.
Student Voices
4.8
I've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
I'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
The data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
One of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
The teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
It was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
It was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
I found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
Excited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
The data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
During my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Great institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
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