Investment Banker

Statistical Finance

Overview

Master statistical tools and AI-driven techniques to forecast, assess and model financial risk with precision.

  • 4 Hours 40 Hours of Learning
  • Learners 2.2K+ Learners
  • GST Derivatives 17,500 (incl. GST)

What You Will Learn

Time series forecasting Building risk models Multiple regression analysis Logistic regression techniques Monte Carlo simulation Stress testing methods

Skills You Will Learn

Skills
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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:
  • Time

    Self-paced
    Modules

  • Time

    Case studies

  • Time

    Assessments

  • Time

    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.

Infra

Learn high-impact statistical finance techniques to improve forecasting and investment strategies.

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