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
40 Practical Tasks
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 

Curriculum

“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.”

Viktor Mehandzhiyski
Content Creator at 365 Data Science

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