Foundations of Probability in Python

Mathematics and Statistics

Short Description

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Long Description

Probability is a field of study that examines the patterns that arise from random experiments. This course will provide a comprehensive understanding of essential probability concepts, beginning with the classic example of a coin flip to introduce random variables. Additionally, you will learn how to calculate mean and variance, probability distributions, and conditional probability. Furthermore, we will delve into two crucial outcomes in probability: the law of large numbers and the central limit theorem. As probability forms the foundation of data science and machine learning, mastering these concepts will enhance your ability to comprehend and effectively apply models. The ubiquity of chances in our surroundings makes the study of probability a transformative experience that alters your perception of the world. Let us embark on this journey into randomness together!

Related Courses

Foundations of Probability in Python

by DataCamp

Learn fundamental probability concepts like random variables, mean and variance, probability distrib...

Introduction to Statistics in Python

by DataCamp

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from d...

Intermediate Python

by DataCamp

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataF...

Statistical Simulation in Python

by DataCamp

Learn to solve increasingly complex problems using simulations to generate and analyze data.

Foundations of Probability in R

by DataCamp

In this course, you'll learn about the concepts of random variables, distributions, and conditioning...

Probability Puzzles in R

by DataCamp

Learn strategies for answering probability questions in R by solving a variety of probability puzzle...

Foundations of Functional Programming with purrr

by DataCamp

Learn to easily summarize and manipulate lists using the purrr package.

Foundations of Inference in Python

by DataCamp

Get hands-on experience making sound conclusions based on data in this four-hour course on statistic...

Foundations of Inference in R

by DataCamp

Learn how to draw conclusions about a population from a sample of data via a process known as statis...

Statistical Thinking in Python (Part 1)

by DataCamp

Build the foundation you need to think statistically and to speak the language of your data.

Course Details

Duration: 5 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

Learn more