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Professional Certificate in

Regulatory Analytics Course

With our Regulatory Analytics course, you will emerge as a professional ready to grab innumerable opportunities in the current Industry that is focusing heavily to leverage on Data.
  • 16 Hours of Intensive Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Get Quiz Questions and Use Cases
HR Analytics course - 360digitmg
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HR Analytics course reviews - 360digitmg
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Academic Partners & International Accreditations
  • Regulatory Analytics course certification with Microsoft
  • Regulatory Analytics course certification certification with NASSCOM certificate
  • Regulatory Analytics course certification with INNODATATICS certificate
  • Regulatory Analytics course certification with TUV
  • Regulatory Analytics course certification with SUNY
  • Regulatory Analytics course certification with NEF

The application of Data Analytics to regulatory compliance has massive benefits to the domain and Regulatory Analytics combines technology with subject expertise to provide insight and guidance on trade, global tax, and business-related regulations for a company that is operating internationally.

Regulatory Analytics

Program Cost

INR 12,000/-

Overview of Regulatory Analytics Course

360DigiTMG Regulatory Analytics training program introduces the participants to all the necessary tools reliable for compliance with considerable regulatory burdens. They dramatically reduce the research time and allow the user to model alternative transactions to provide the user with regulatory and compliance data. With the help of analytics, regulatory analysts are well prepared to regulate company policies and taxes for companies that are operating internationally. 360DigiTMG course graduates can easily develop optimized trading solutions and help agencies to make informed decisions.

Regulatory Analytics Course Training Learning Outcomes

Machine Learning and Big Data Analytics have become game-changer in the Regulatory analytics domain. The Certification Program in Regulatory Analytics is a sui generis attempt to blend machine learning solutions for traditional trading problems. Specifically designed to suit the Regulatory professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to financial industry data. This Regulatory Analytics course is meant for professionals from the trading domain as it provides a comprehensive picture of how Data Science and Artificial Intelligence can be leveraged to increase the speed and accuracy of regulatory decisions. Understanding the applications of Data Science, Machine Learning to regulatory compliance will be the prime objective of this content-rich program.

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 regulatory compliance functions such as risk assessment.
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

Block Your Time

Regulatory Analytics course - 360digitmg

16 hours

Classroom Sessions

Regulatory Analytics course - 360digitmg

20 hours

Programming Videos

Who Should Sign Up?

  • Compliance Officers
  • Risk Managers
  • Data Scientists
  • Policy Analysts
  • Legal Analysts
  • Regulatory Affairs Specialists
  • Business Professionals (in regulated industries)
  • Government Regulators
  • Data Analysts

Regulatory Analytics Course Modules

  • This module introduces the topic of regulations
  • Discussion on the importance of regulations
  • Basic information on AI and ML
  • Introduction to the various stages of analytics and using a historical example of the various stages can help understand the steps involved in analytics
  • Introduction to the various stages of analytics and using a historical example of the various stages can help understand the steps involved in analytics
  • Discussion on CRISP-ML (Q)
  • Explanation of the importance of CRISP-ML (Q) in various Data Science related projects
  • Explanation of unsupervised and supervised learning
  • Explanation of the training, validation, and testing stages of supervised learning
  • Understanding right fit, underfit and overfit scenarios in supervised learning
  • Understanding Hyperparameter tuning in the context of overfitting
  • This module covers the various steps of EDA
  • Discussion on the 4 business moment decisions in EDA
  • Discussion on univariate, bivariate, and multivariate EDA steps
  • Explanation of the various pre-processing steps involved in any Machine learning or Artificial intelligence project
  • A brief introduction to feature engineering
  • Re-cap of unsupervised learning in ML
  • Understanding of clustering in layman’s terminology
  • Understanding K-means clustering from a technical perspective
  • Understanding the usage of elbow curve and silhouette scoring to decide on the ideal number of clusters
  • Re-cap on supervised learning
  • Understanding of nearest neighbor in ML
  • Understanding the KNN algorithm and distance metrics
  • Understanding of early stopping point in the training phase
  • Explanation of the need for an odd number of neighbors when classifying
  • Understanding the decision-making process for humans and correlating to the topic of Decision Trees
  • Understanding the various components of a decision tree
  • Understanding the idea behind the root node and how it affects the overall tree
  • Understanding entropy and information gain concepts of decision tree to make logical choices on the root node
  • Usage of hyperparameter tuning to optimize the tree
  • Introduction to the concept of line equation
  • Correlation of line equation in ML terms
  • Understanding of correlation and its importance in Linear regression
  • Differentiating between the equations of SLR and MLR
  • Explanation of the OLS concept
  • Re-cap on the topics covered before
  • Understanding the importance of AI
  • Understanding the reasoning behind the concept of neural networks
  • Explanation of the perceptron algorithm
  • Introduction to multilayer perceptron
  • Understanding the concept of weight calculations
  • Brief intro to gradient descent
Tools Covered
Regulatory Analytics course using python
Regulatory Analytics training using r programming
Regulatory Analytics training using r studio programming
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Regulatory Analytics Training program Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
Regulatory Analytics certification course - 360digitmg


Earn a Regulatory 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 Regulatory Analytics Course Certificate is your passport to an accelerated career path.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology


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FAQs for Regulatory 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

Professionals in the field of regulatory analytics can work in various roles such as Regulatory Affairs Specialist, Compliance Officer, Risk Manager, Legal and Policy Analyst, Data Analyst, Government Regulator, or Business Analyst in regulated industries.

Salaries for Analytics Course

Salaries for Analytics Experts

A regulatory analyst may have to perform various tasks such as collecting, aggregating, analyzing, and processing regulatory data to derive valuable insights for compliance and risk management purposes. The average salary of a regulatory analyst is around 7,50,000 lakhs per annum in India.

Analytics Course Projects

Analytics Course Projects

The best way to build knowledge in regulatory analytics is to work on live projects. Various projects that one could work on include regulatory compliance assessments, risk management frameworks, policy analysis, data analytics for compliance monitoring, and regulatory impact analysis.

Role of Open Source Tools in Analytics Course

Role of Open Source Tools in Analytics

Programmers prefer open source tools because it helps them modify or improve upon the code. Many organizations have adopted tools of Analytics in a big way as they help them to analyze and visualize massive sets of Data. In this program, you will be exploring tools like R, RStudio, and Python.

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

Regulatory analytics plays an integral role in enabling data-driven decisions and mitigating risks. Its applications are used in various fields of regulatory compliance, analysis, and risk-related factors like risk assessment, policy analysis, compliance monitoring, regulatory impact analysis, and risk management frameworks.

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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