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Fundamentals of Probability–FRM Part 1-Quantitative Analysis
New
Rating: 4.2 out of 5(2 ratings)
40 students

Fundamentals of Probability–FRM Part 1-Quantitative Analysis

Build a Strong Foundation in Probability for the FRM Part I Quantitative Analysis Exam
New
Created byMidha Fin
Last updated 7/2026
English
English [Auto],

What you'll learn

  • FRM Part I candidates preparing for the Quantitative Analysis section.
  • Students and professionals seeking a strong foundation in probability concepts used in financial risk management.
  • Finance, economics, engineering, mathematics, and statistics graduates looking to strengthen their analytical skills.
  • Banking, investment, and risk management professionals who want to understand probabilistic models and their practical applications.
  • Anyone with basic mathematical knowledge who wishes to build a solid understanding of probability before progressing to advanced quantitative finance topics.

Course content

1 section • 14 lectures • 1h 31m total length

  • Introduction1:17
  • Define sample space , event and event space.7:06
  • Probability - Basic Mathematical Definition3:06
  • General Probability Algebra and Venn - Diagrams6:11

    Explore general probability algebra with Venn diagrams, covering complement, intersection (A and B), and union (A or B), including P(A^c)=1−P(A) and P(A∪B)=P(A)+P(B)−P(A∩B), while avoiding double counting.

  • Mutually Exclusive events1:52
  • Fundamental Principles of Probability1:51
  • Exhaustive Events7:54

    Learn how exhaustive events and mutually exclusive and exhaustive (MEE) sets define the sample space, using die examples and visuals to distinguish ME, MEE, and non-exhaustive combos.

  • Fundamental Principles and MEE Events2:19
  • Independent Events and Mutually Exclusive8:12
  • Conditional Probability10:00

    Explore conditional probability by computing P(A|B) as P(A∩B)/P(B), and visualize how dependence, independence, and mutual exclusivity shape outcomes in the sample space.

  • Conditional Independence9:38
  • Joint Probability Algebra9:47
  • Theorem of Total Probbility9:55
  • Bayes Theorem12:29

Requirements

  • A basic understanding of high school mathematics, including algebra, arithmetic, and elementary equations.
  • Familiarity with percentages, fractions, and basic mathematical notation.
  • No prior knowledge of probability, statistics, or finance is required.
  • A calculator (preferably a scientific calculator) for solving numerical examples and practice questions.
  • An interest in quantitative methods, financial risk management, or data analysis.
  • This course is designed to build concepts from the ground up, making it suitable for beginners as well as learners preparing for the FRM Part I Quantitative Analysis syllabus.

Description

Fundamentals of Probability – FRM Part I – Quantitative Analysis

Probability is one of the most important building blocks of the FRM Part I Quantitative Analysis syllabus. A strong understanding of probability is essential not only for the FRM examination but also for careers in risk management, finance, banking, investment analysis, and data analytics.

This course is designed to help you master the fundamentals of probability from the ground up. Whether you are a beginner or an FRM aspirant looking for an exam-focused revision, this course explains every concept in a simple, intuitive, and practical manner.

Throughout the course, you'll learn how to solve probability problems confidently using step-by-step explanations, visual illustrations, and numerous FRM-style examples. The emphasis is on understanding concepts rather than memorizing formulas.

What you'll learn

  • Fundamentals of probability and random experiments

  • Sample spaces and events

  • Basic probability rules and counting techniques

  • Conditional probability and independence

  • Bayes' Theorem and its applications

  • Joint, marginal, and conditional probabilities

  • Probability distributions and their practical interpretation

  • FRM exam-style numerical problems and shortcuts

  • Common mistakes and effective problem-solving strategies

Why take this course?

  • Covers the complete Probability reading for FRM Part I Quantitative Analysis.

  • Beginner-friendly explanations with no prior probability knowledge required.

  • Includes practical examples and exam-oriented numerical questions.

  • Focuses on conceptual clarity to help you tackle difficult FRM questions with confidence.

  • Suitable for self-paced learning and quick revision before the exam.

Who should enroll?

  • FRM Part I candidates

  • Students of finance, economics, mathematics, engineering, and statistics

  • Banking, investment, and risk management professionals

  • Anyone interested in learning probability for quantitative finance and risk management

By the end of this course, you'll have a solid understanding of probability concepts and the confidence to solve FRM Part I probability questions accurately and efficiently.

Who this course is for:

  • FRM Part I aspirants preparing for the Quantitative Analysis section.
  • Students pursuing finance, economics, mathematics, engineering, statistics, or related disciplines.
  • Risk management, banking, investment, and financial services professionals looking to strengthen their quantitative skills.
  • CFA candidates or finance professionals who want to build a solid understanding of probability concepts.
  • Beginners who want to develop a strong foundation in probability before studying more advanced quantitative finance topics.
  • Anyone interested in learning how probability is applied to financial decision-making and risk analysis.

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