Probability Theory: Getting Started with Probability

Math    |    Beginner
  • 8 Videos | 57m 33s
  • Includes Assessment
  • Earns a Badge
Probability is a branch of mathematics that deals with uncertainty, specifically with numerical estimates of how likely an event is to occur and what might happen if that event does or does not occur. Probability has many applications in statistics, engineering, finance, machine learning, and computer science. Get acquainted with the basic constructs of probability through this course. Start by examining different types of events, outcomes, and the complement of an event. You will then simulate various probabilistic experiments in Python and note how the outcomes of these experiments tend to converge towards theoretically expected outcomes as the number of trials increases. By the time you finish this course, you will be able to define and measure probabilities of common events and simulate probabilistic experiments using Python.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    enumerate differences between random and non-random variables and describe the role of probability
    define terms such as event, outcome, and experiment
    import python libraries needed to work with probabilities
  • simulate the flipping of a coin in Python
    simulate the rolling of a die in Python
    simulate the picking of marbles from a bag in Python
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 40s
    UP NEXT
  • Playable
    2. 
    Probability and Random Variables
    9m 16s
  • Locked
    3. 
    Events and Types of Events
    8m 48s
  • Locked
    4. 
    Installing Modules
    5m 50s
  • Locked
    5. 
    Simulating Trials to Flip a Coin
    9m 26s
  • Locked
    6. 
    Simulating Trials to Roll a Die
    7m 51s
  • Locked
    7. 
    Simulating Trials to Pick Marbles at Random
    10m 26s
  • Locked
    8. 
    Course Summary
    1m 17s

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