Home »MACHINE LEARNING & BIG DATA FOR BANKS AND FINANCIAL INSTITUTIONS
COURSE : MACHINE LEARNING & BIG DATA FOR BANKS AND FINANCIAL INSTITUTIONS
Course OverviewFinancial institutions are making use of Big Data in big ways, from boosting cybersecurity to reducing customer churn, cultivating customer loyalty, and more through innovative and personalized offerings that make modern banking a highly individualized experience. Data drives the modern financial industry in many ways.
But what specifically are these trends in Big Data technologies that make such experiences possible? What trends are today’s financial services professionals tapping into to set themselves apart from their competition? And what role do modern financial services pros see Big Data playing as we move into the future?
Training DurationTotal Training Hours : 30 Hours
Training Duration : 1 Week
Total Training Days : 5 Working Days
Training SchedulesWeekdays (Sunday to Thursday)
Regular Sessions : 6 Hrs Per day (9am to 2pm or 3.00pm to 9.00 pm)
Food & refreshments Included

WeekEnds (Friday & Saturday)
Fast Track Sessions: 8 Hours per day (9am to 5pm)
Food & refreshments Included
Certifications:1) Certificate from Laurels Training Institute, Attested by Knowledge & Human Development Authority (KHDA) government of Dubai, UAE

OPTIONAL
2) Certificate from American Institute of Professional Studies (AIPS) from USA (After 15 Days of course Completion which will couriered to the attendees office address)
TestsYes
Learning AidsYes
Course MaterialHard & Soft Copies of Study Material
Language of InstructionEnglish
Instructor HelplineYes
1. Email
2. Social Media (For Emergency requirements)
Registration Requirements1. Passport Copy
2. Curriculum Vitae
3. Passport size photographs
4. Course Fee
Mode of Payment:Cash / Cheque / Credit Card / Bank Transfer.
Eligibility Criteria
(Who should attend this training)

Business Development Executives

Business Intelligence Officers
Data Officers
Financial Analysts
Financial Decision Makers in Corporates
General Managers
Investment, Commercial and Retail Bankers
Management Consultants
Marketing Managers
Operations Managers
Project Managers
IT personnel

 

Course BenefitsIn this course, participants will learn how key business processes relate to financial statements, as well as the impact of technology on financial auditing. The course will walk participants through an analysis of an organization’s financial statements using case study exercises, where participants will calculate key ratios and analyze trends over time.
The programme will walk participants through an analysis of an organization’s financial statements using case study exercises, where participants will calculate key ratios and analyze trends over time. Engaging in discussions on both historic and current fraud cases, participants will learn how to recognize “red flags” in financial statement reporting.
Course Contents / Outline

Big Data and Machine Learning concepts
Big Data and Financial Analytics
Impact on the Financial Services sector
Types of problems and solutions using Machine Learning / Big Data analytics
From Data to Prediction
Successful Big Data Strategy
Framework for Big Data Projects
Plotting on the Big Data Canvas
Big Data a broad concept
Tactics and Best Practices to Overcome Organizational Hurdles
Implementation of Roadmaps and Contingency Plans
Applications in Finance Part I
Communicating Business Objectives to Data Professionals
Communicating Requirements to Data professionals
Applications in Finance Part II
Financial Services of the Future: The Time to Harvest Your Data is Now
Disruptive Fintech - The Competitive Advantage of Data
Wide Variety of ML Usages
Supervisory Expectations
Data accuracy and reliability
Interpretation of the ML Prediction
ML Transparency and Documentation
Deep Learning
Emerging Risks
Third-Party Vendors
Cybersecurity Risk

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