Investment Banker
Statistical Finance
Overview
Master statistical tools and AI-driven techniques to forecast, assess and model financial risk with precision.
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40 Hours of Learning
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2.2K+ Learners
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17,500 (incl. GST)
Skills You Will Learn
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Data-driven decision-making
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Predictive modelling
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AI in finance
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Statistical risk assessment
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Investment analysis
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Financial variable forecasting
Course Key Highlights
- Apply machine learning to financial risk modelling
- Build and test predictive investment strategies
- Develop robust time series forecasting models
- Perform Monte Carlo simulations for risk assessment
- Execute stress testing for risk preparedness
- Master multiple and logistic regression for finance
- Learn AI techniques for advanced market predictions
Course Time
Includes:
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Self-paced
Modules -
Case studies
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Assessments
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40 Hours of Learning
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FAQs
What is the focus of the Statistical Finance course?
It focuses on statistical, predictive, and AI techniques for financial forecasting and risk assessment.
Do I need prior machine learning knowledge to join?
No prior ML knowledge is required, but basic statistical understanding is recommended.
What statistical techniques will I learn?
You will learn time series forecasting, multiple and logistic regression, Monte Carlo simulations, and stress testing.
Is the course relevant to non-BFSI industries?
Yes, the methods are applicable to any field involving financial analysis and risk modelling.
How long will it take to complete?
The course contains 40 hours of learning, designed to be completed at your own pace.
