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Professional Certificate in

Banking Analytics Course

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.
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  • 16 Hours of Intensive Online Sessions
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Banking Analytics course - 360digitmg
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  • Banking Analytics Course with Microsoft
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  • Banking Analytics Course with SUNY
  • Banking Analytics Course with NEF

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/-

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
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hr analytics course - 360digitmg

16 hours

Classroom Sessions

hr analytics course - 360digitmg

20 hours

Programming Videos

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.

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