# Probability

Teaching you the probability theory necessary to think like a data scientist. You will learn about expected values, combinatorics, Bayesian notation, and probability distributions.

With Viktor Mehandzhiyski

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#### Course Overview

Data science is based on statistics and statistics steps on the foundations laid by probability. This course will help you master the probability theory necessary to think like a data scientist. You will learn about expected values, combinatorics, Bayesian notation, and probability distributions.

47 High Quality Lessons
4 Hours of Video
Certificate of Achievement

#### Skills you will gain

career developmentdata analysisexcelmathematics

#### What You'll Learn

Probability and statistics are essential when working with predictions. With this course, you will master probability theory and learn how to apply it as a data scientist.

Understand key terms and ideas concerning probabilities and events
Use combinatorics
Describe events and the ways they interact with one another
Determine what kind of distribution a dataset follows
Learn about the application of the probability theory

#### “Having a probabilistic mindset is much more important than knowing “absolute truths”, if you want to succeed in data science. I have carefully crafted this course to reflect the most in-demand skills that will enable you to understand and compute complex probabilistic concepts. This is the place where you’ll take your skillset to the next level – that of probability, conditional probability, Bayesian probability, and probability distributions.”

##### Probability

With Viktor Mehandzhiyski