Course

Introduction to Probability in Python

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Part of the Data Analyst in Python, and Data Scientist paths.

4.8 (359 reviews)
9,428 learners enrolled in this course.
  • Beginner friendly
  • 5 hours
  • Self paced
  • 5 lessons
  • 1 project
Otavio

“The learning paths on Dataquest are incredible. They give you a direction through the learning process – you don’t have to guess what to learn next.”

Otávio Silveira

Data Analyst @ Hortifruti

Introduction to Probability in Python

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Course overview

Key skills

Course outline

Introduction to Probability in Python [5 lessons]

Estimating Probabilities 1h

Lesson Objectives
  • Identify random experiments
  • Estimate theoretical probabilities
  • Estimate empirical probabilities

Probability Rules 1h

Lesson Objectives
  • Define sample spaces
  • Read Venn diagrams
  • Define impossible and certain events
  • Define the addition rule
  • Employ set notation

Solving Complex Probability Problems 1h

Lesson Objectives
  • Define set complements
  • Employ complements to solve problems
  • Define the multiplication rule of probability
  • Define independent and non-independent events

Permutations and Combinations 1h

Lesson Objectives
  • Define the Rule of Product
  • Define permutations
  • Define combinations

Guided Project: Mobile App for Lottery Addiction 1h

Lesson Objectives
  • Expand your portfolio with probability and combinatorics
  • Generate business value using probability and combinatorics

Projects in this course

Guided Project: Mobile App for Lottery Addiction

Learn to use probability and combinatorics in a practical setting.

View Project

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Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

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