This course builds a strong quantitative foundation for understanding modern investment analysis and financial decision-making. It explores probability, statistics, distributions, sampling, risk measurement, and time-value concepts that underpin financial models. Students learn how to interpret data, evaluate uncertainty, and apply quantitative tools to real-world investment scenarios. Designed for analysts, traders, and learners pursuing advanced finance studies, the course strengthens numerical reasoning and analytical confidence in financial environments.

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Skills & learning objectives

There are 8 modules in this class


  • Quantitative Analysis IntroductionUnlock this class to watch7m 26s
  • Understanding Quantitative AnalysisUnlock this class to watch1m 47s
  • Types of quantitative analysisUnlock this class to watch33s
  • Limitations of Quantitative AnalysisUnlock this class to watch31s
  • Best Practices for Quantitative AnalysisUnlock this class to watch1m 41s
  • Statistical AnalysisUnlock this class to watch2m 8s
  • Portfolio OptimizationUnlock this class to watch43s
  • Modern Portfolio TheoryUnlock this class to watch2m 34s
  • Using Quantitative AnalysisUnlock this class to watch1m 43s
  • How to Perform a Qualitative Analysis?Unlock this class to watch51s

  • Introduction to Quantitative Analysis in FinanceUnlock this class to watch3m 49s
  • Common Metrics Used in Quantitative AnalysisUnlock this class to watch1m 28s
  • Quantitative vs. Qualitative AnalysisUnlock this class to watch2m 16s
  • Big Data in FinanceUnlock this class to watch2m 52s
  • Identifying Patterns to Reduce RiskUnlock this class to watch1m 3s
  • The Benefits of Quant TradingUnlock this class to watch1m 16s

  • The importance of Mathematics in FinanceUnlock this class to watch1m 58s
  • Financial MathematicsUnlock this class to watch7m 23s
  • Mathematical and Computer Modelling in FinanceUnlock this class to watch3m 54s
  • Creating a SimulationUnlock this class to watch2m 12s
  • Money, Securities, and MarketsUnlock this class to watch1m 12s
  • Time Value, Risk, Arbitrage, and PricingUnlock this class to watch1m 6s

  • What Is the Time Value of Money (TVM)?Unlock this class to watch7m 42s
  • Examples of Time Value of MoneyUnlock this class to watch1m 56s
  • Future Value BasicsUnlock this class to watch2m 27s
  • Present Value BasicsUnlock this class to watch3m 11s
  • Annuity Derivation Vs. Perpetuity DerivationUnlock this class to watch2m 5s

  • What Is a Probability Distribution?Unlock this class to watch6m 57s
  • Types of Probability DistributionsUnlock this class to watch4m 40s
  • Probability Distributions Used in InvestingUnlock this class to watch2m 14s

  • What Is Risk?Unlock this class to watch7m 26s
  • Risk vs. RewardUnlock this class to watch3m 43s
  • Calculating Risk-ReturnUnlock this class to watch1m 23s

  • What Is a Regression?Unlock this class to watch21m 49s
  • ConclusionUnlock this class to watch37s
  • ClosingUnlock this class to watch46s

Final exam

Assess your learning with a final exam covering all class topics.

This class is part of the following certifications

Issued by Capital Academy and the American University in Dubai (AUD)
Certified Portfolio & Fund Manager (CPFM)

Certified Portfolio & Fund Manager (CPFM)

63 ClassesUnlimited interactive exercises

Unlock Certificate
Issued by Capital Academy and the American University in Dubai (AUD)
Certificate in AI-Powered Financial Analysis (CAFA)

Certificate in AI-Powered Financial Analysis (CAFA)

56 ClassesUnlimited interactive exercises

Unlock Certificate

ClassFAQs

The course aims to introduce learners to essential quantitative tools used in finance, enabling them to analyze data, optimize portfolios, and support investment decisions using mathematical and statistical methods.
The course is intended for finance professionals seeking to enhance their data-driven investment decision-making skills.
The module covers portfolio optimization, asset pricing, and the use of mathematical models to solve financial problems.
The course explains fundamental probability concepts and distributions and how they are used to predict market movements and assess financial risk.
Learners will understand how regression models identify relationships between financial variables and how these models are used to forecast financial outcomes.

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