Machine Learning for Finance Essentials
Learn how machine learning transforms banking with SBI's comprehensive course covering data analysis, NLP, and financial forecasting.
Learn how machine learning transforms banking with SBI's comprehensive course covering data analysis, NLP, and financial forecasting.
Explore the transformative power of machine learning in finance through this comprehensive course from State Bank of India. Learn fundamental concepts and practical applications of ML in banking, from data analysis to supervised and unsupervised learning methods. Master essential techniques in Natural Language Processing, time series analysis, and financial forecasting. The course provides hands-on experience with real-world banking challenges and ethical considerations in AI implementation.
Instructors:
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What you'll learn
Master exploratory data analysis fundamentals for banking datasets
Understand core machine learning concepts and their financial applications
Implement supervised and unsupervised learning models for banking tasks
Apply NLP techniques in banking marketing and customer service
Develop predictive models for credit approval and risk assessment
Analyze time series data for financial forecasting
Skills you'll gain
This course includes:
PreRecorded video
Module assessments, Graded assignments
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This comprehensive course explores the application of machine learning in banking and finance. Students learn fundamental ML concepts, data analysis techniques, and their practical applications in financial services. The curriculum covers key areas including exploratory data analysis, supervised and unsupervised learning models, Natural Language Processing for customer service, and time series analysis for financial forecasting. Special emphasis is placed on model evaluation, interpretability, and ethical considerations in AI implementation within banking contexts.
Introduction to Machine Learning Fundamentals
Module 1 · 1 Weeks to complete
Different Learning Models for Banking Applications
Module 2 · 1 Weeks to complete
Natural Language Processing & Time Series Analysis in Finance
Module 3 · 1 Weeks to complete
Model Evaluation, Interpretability, and Ethical Considerations
Module 4 · 1 Weeks to complete
Fee Structure
Instructors
1 Course
Leading Banking Technology Expert Advances AI Education in Finance
Shaji Neelakandan serves as Assistant General Manager and Faculty at State Bank of India, bringing 28 years of banking experience combined with expertise in financial technology. With a BTech in Computer Science & Engineering and MSc in FinTech, along with professional certifications including CFA and FRM, he specializes in the intersection of technology and finance. At SBI's training institute, he teaches "Introduction to Machine Learning for Finance," helping develop the next generation of banking professionals in emerging technologies. His expertise in financial risk management and machine learning applications in banking makes him a valuable asset in SBI's digital transformation initiatives.
1 Course
Banking Security Expert Advances Financial Crime Prevention Education
Satish Kumar S serves as Assistant General Manager and Faculty at State Bank of India, bringing 28 years of banking experience combined with specialized expertise in criminology. With a Master's degree in Criminology, he focuses on financial security, fraud prevention, and risk management in banking operations. At SBI's training institute, he teaches "Introduction to Machine Learning for Finance," helping develop banking professionals' understanding of how advanced analytics can be applied to detect and prevent financial crimes. His unique combination of criminology background and extensive banking experience makes him particularly effective in training staff on security aspects of banking operations and the application of technology in financial crime prevention
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