Investment Banker

Statistical Finance

Overview

Master statistical and machine learning methods to forecast trends, model risks, and make data-driven financial decisions with advanced tools like regression, time series, and Monte Carlo analysis.

  • 4 Hours 40 Hours of Learning
  • Learners 2.2K+ Learners
  • GST Derivatives 17,500+ GST

What You Will Learn

Interpret financial time series Apply multiple regression models Build logistic regression models Conduct Monte Carlo simulations Perform scenario-based risk testing Implement AI in finance Forecast market and asset trends Evaluate predictive model accuracy

Skills You Will Learn

Skills
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    Statistical data analysis for finance

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    Predictive modeling and forecasting

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    Risk quantification and management

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    Financial data visualization

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    Machine learning for investment analytics

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    Data-driven decision-making in finance

Course Key Highlights

  • Time series analysis for trend forecasting
  • Multiple and logistic regression applications
  • Machine learning and AI in finance
  • Monte Carlo and scenario risk analysis
  • Building robust financial forecasting models

Course Time

Includes:
  • Self Paced

    Self-paced
    Modules

  • Case Studies

    Case studies

  • Time

    Quizzes

  • Time

    40 Hours of Learning

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FAQs

Who is this course designed for?

Finance professionals, analysts, and data specialists looking to apply statistical methods in financial decision-making.

Do I need prior statistical knowledge?

Basic statistics knowledge is helpful but not mandatory. The course covers all core concepts.

Will I learn practical applications?

Yes, the course includes hands-on exercises and real-world financial case studies.

What tools will be used?

The course uses Excel, statistical software, and select machine learning tools for demonstrations.

Is the course self-paced?

Yes, you can complete the modules at your own pace.

Infra

Learn powerful forecasting and risk assessment methods to stay ahead in financial analysis.

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