Professional Certificate in
Banking Analytics Course
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- 16 Hours of Intensive Online Sessions
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2024 Learners
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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.
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.
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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.
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:
- A superior customer experience
- 360-degree view of customer
- Stronger customer relationship
- Better operational costs
- Risk management and mitigation
- Better growth opportunities
How we prepare you
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Job Placements in HR Analytics Fields
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in Live Projects
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