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Math for Data Science Masterclass

Learn about probability, statistics, and more using mathematics that is foundational to the field of data science.

What you’ll learn

Understand core concepts about data quality and quantity
Learn about how to measure data with statistics
Discover how to visualize data with a variety of plot types
Use combinatorics to calculate permutations and combinations of objects
Understand the key ideas in using probability to solve problems
Learn how to use data distributions with real-world data
Discover the powerful insights from the normal distribution
Use sampling and the central limit theorem
Understand hypothesis testing on sample groups
Cover the basics of linear regression

Requirements

Only basic arithmetic skills are needed, we’ll teach you the rest

Description

Welcome to the best online course for learning about the Math behind the field of Data Science!

Working together for the first time, Krista King and Jose Portilla have combined forces to deliver you a best-in-class course experience in how to use mathematics to solve real-world data science problems. This course has been specifically designed to help you understand the mathematical concepts behind the field of data science, so you can have a first-principles level understanding of how to use data effectively in an organization.

Why choose this course?

Combined, Krista and Jose have taught over 3.2 million students about data science and mathematics and their joint expertise means you’ll be able to get the best and clearest mathematical explanations from Krista with framing about real-world data science applications from Jose. At the end of each section is a set of practice problems developed from real-world company situations, where you can directly apply what you know to test your understanding.

What’s covered in this course?

In this course, we’ll cover: