Foundations of Probability in Python

Starting at USD 39.00
5 hours duration

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

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!

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
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.
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