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Foundations of Probability in Python

IntermediateSkill Level
4.7+
76 reviews
Updated 08/2024
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
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PythonProbability & Statistics5 hr16 videos61 Exercises5,050 XP14,256Statement of Accomplishment

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Course Description

Probability is the study of regularities that emerge in the outcomes of random experiments. In this course, you'll learn about fundamental probability concepts like random variables (starting with the classic coin flip example) and how to calculate mean and variance, probability distributions, and conditional probability. We'll also explore two very important results in probability: the law of large numbers and the central limit theorem. Since probability is at the core of data science and machine learning, these concepts will help you understand and apply models more robustly. Chances are everywhere, and the study of probability will change the way you see the world. Let’s get random!

Prerequisites

Introduction to Statistics in Python
1

Let's start flipping coins

Start Chapter
2

Calculate some probabilities

Start Chapter
3

Important probability distributions

Start Chapter
4

Probability meets statistics

Start Chapter
Foundations of Probability in Python
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Don’t just take our word for it

*4.7
from 76 reviews
80%
17%
3%
0%
0%
  • Ilya
    4 days

    Very good how much more for this feedback, why this is blank

  • Mohammad Rizky Nur
    5 days

    A nice way to learn probability theory as you will be applying it in python (instead of just reading from a book)

  • Adebisi
    15 days

  • Mitsuki
    18 days

  • SAUL FABIAN
    18 days

  • CESAR BENJAMIN
    20 days

    UN CURSO MUY COMPLEJO Y ATRACTIVO ME EMCANTO

"Very good how much more for this feedback, why this is blank"

Ilya

"A nice way to learn probability theory as you will be applying it in python (instead of just reading from a book)"

Mohammad Rizky Nur

Mitsuki

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