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.
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40 Hours of Learning
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2.2K+ Learners
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17,500+ GST
Skills You Will Learn
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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:
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Self-paced
Modules -
Case studies
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Quizzes
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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.
