Course · Intermediate

Introduction to Probability in Python

This course introduces you to probability in data science. At the end, you'll be able to calculate probabilities and solve complex problems in data science projects.

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  • Intermediate friendly
  • 4 hrs
  • 4 lessons
  • 1 project
  • Premium

Course overview

Build a practical foundation in probability using Python, covering random experiments, core rules, and counting techniques used in data analysis.

What's inside

4 lessons · 1 project

  • 01
    Estimating Probabilities

    Learn to estimate probabilities empirically and theoretically.

    39 min
  • 02
    Probability Rules

    Learn about the fundamental probability rules.

    32 min
  • 03
    Solving Complex Probability Problems

    Learn to solve complex probability problems.

    44 min
  • 04
    Permutations and Combinations

    Learn about the most important counting techniques.

    49 min
  • 05
    Guided Project: Mobile App for Lottery Addiction Project

    For this project, we'll work with a medical institute to build a mobile app that helps lottery addicts estimate their odds of winning. Using Python and probability skills, we'll analyze Canada's 6/49 lottery as a case study.

    48 min

Part of these paths

Career path
Data Analyst in Python
146 hrs · 27 courses
Career path
Data Scientist in Python Certificate Program
154 hrs · 38 courses
Skill path
Probability and Statistics with Python
78 hrs · 12 courses
Career path
AI Engineer in Python
183 hrs · 30 courses

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