| COURSE : MACHINE LEARNING & BIG DATA FOR BANKS AND FINANCIAL INSTITUTIONS | |
|---|---|
| Course Overview | Financial 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 Duration | Total Training Hours : 30 Hours Training Duration : 1 Week Total Training Days : 5 Working Days |
| Training Schedules | Weekdays (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) |
| Tests | Yes |
| Learning Aids | Yes |
| Course Material | Hard & Soft Copies of Study Material |
| Language of Instruction | English |
| Instructor Helpline | Yes 1. Email 2. Social Media (For Emergency requirements) |
| Registration Requirements | 1. 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
|
| Course Benefits | In 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 |