What if I miss a session at a classroom?

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.

Do you provide videos of classroom sessions? How can I access them?

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.

Will I get assignments after completing the classroom / online session?

After you have completed the classroom / online 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.

Will you provide me with a mentor?

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.

How long is this certification valid?

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.

Professional Certificate in

Banking Analytics Course

Name: Banking Analytics Course | Banking Analytics Training - 360DigiTMG
Brand: 360DigiTMG
Rating: 4.9 (2024 reviews)

With our Banking 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.

Get Trained by Trainers from ISB, IIT & IIM
16 Hours of Intensive Online Sessions
20 Hours of Free Python Programming Videos
Get IBM Certification at Additional Cost
Get Quiz Questions and Use Cases

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Academic Partners & International Accreditations

Financial systems are rapidly transformed by digital transformation. Banks, credit unions, and financial institutions are now able to develop innovative and customer-centric approaches to banking thanks to data analytics. Financial institutions are still trying to uncover new ways to leverage banking analytics to make the customer experience better while simultaneously improving revenue and staying competitive.

Banking Analytics

Program Cost

INR 12,000/-

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Overview of Banking Analytics Course

Data Analytics has become an integral part of the banking and financial industry. The banking industry is one of the earlier domains to adopt Data Analytics and has used it to monitor and anticipate changes in the market. Presently banks are using Data Analytics to obtain minute details from the humongous data to take better and more profitable decisions.

Banking Analytics Course Training Learning Outcomes

Banking Analytics is a special branch of Data Analytics that involves using banking-related data with analytical tools to improve banking performance.
The Certification Program in Banking Analytics is a sui generis attempt to blend analytics solutions for better banking practices and the development of new strategies for efficiency and strategic decisions. Our course is specifically designed to suit the banking professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to banking industry data. The banking Analytics course is meant for professionals from the banking domain as it provides a comprehensive picture of how Data Science and Artificial Intelligence can be leveraged to increase the efficiency of banking practices and strategies. Understanding the applications of Data Science, Machine Learning to banking will be the prime objective of this content-rich program.

Understanding the banking industry and its data requirements

Familiarization with different information sources in banking

Ability to analyze structured and unstructured data using various tools and techniques

Developing skills in descriptive and predictive analytics for banking data

Using ML techniques to create personalized banking experiences for customers

Applying data-driven, Machine Learning approaches for banking functions such as fraud detection and risk management

Understanding how surveys work in the banking industry and performing analytics on them

Applying data visualization concepts to represent banking data for easy understanding and decision-making

Block Your Time

16 hours

Classroom Sessions

20 hours

Python
Programming Videos

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Who Should Sign Up?

IT Engineers
Data and Analytics Manager
Business Analysts
Data Engineers
Math, Science Graduates
Graduates Planning to Apply for Railway Jobs

Banking Analytics Course Modules

In the banking industry, data is crucial to making informed decisions and staying competitive. Banking analytics involves using analytical tools to extract insights from banking-related data and improve banking performance. In this course, you will learn how to work with various data sources, analyze structured and unstructured data, and apply data-driven, Machine-Learning approaches to banking data. The course will cover topics such as data mining, predictive modelling, data visualization, and data-driven decision-making. You will also learn about the various techniques used in screening and recruiting clients and analyzing customer behaviour to provide personalized services. Along with advanced analytics techniques, you will also gain knowledge about data privacy and security in the banking industry. By the end of the course, you will emerge as a professional equipped to leverage the power of data analytics in the banking industry.

1. Introduction to Banking Analytics

2. Understanding Data Sources in Banking

3. Analyzing Structured and Unstructured Data in Banking

4. Descriptive and Predictive Analytics for Banking

5. Machine Learning for Banking: Attrition Prediction, Fraud Detection, Risk Management

6. Talent Management in Banking: NLP Techniques for Screening and Recruiting Candidates

7. Employee Engagement Analysis: Team Level and Employee Level

8. Survey Design and Analysis for Predicting Banking Performance

9. Predictive Modelling for Sickness Absence in Banking

10. Benefits and Compensation Analytics in Banking

11. Tracking Impact of Interventions and Recruitment Prediction in Banking

12. Employee Segmentation and Workforce Skills Enhancement in Banking

13. Forecasting Workforce Growth Rate in Banking Organizations

14. Deep Learning for Emotion Mining in Workforce Analytics for Banking

15. Advanced Analytical Techniques in Banking

16. Data Privacy and Security in Banking Analytics

Trends in Banking Analytics Course

The banking industry can leverage data analytics to do everything from improving the existing process to learning more about the customers. Banking officials can use it to predict and design models and forecast growth opportunities. Data Analytics encompasses different forms of analysis like- business analytics, predictive analytics, customer analytics, etc.

Banking analytics can improve the following points: