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Statistics Foundations: Understanding Probability and Distributions

We live in a world of big data, and someone needs to make sense of all this data. In this course, you will learn to efficiently analyze data, formulate hypotheses, and generally reason about what the ocean of data out there is telling you.

Beginner
4h 24m
(90)

Created by Dmitri Nesteruk

Last Updated Aug 21, 2018

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  • Course

Statistics Foundations: Understanding Probability and Distributions

We live in a world of big data, and someone needs to make sense of all this data. In this course, you will learn to efficiently analyze data, formulate hypotheses, and generally reason about what the ocean of data out there is telling you.

Beginner
4h 24m
(90)

Created by Dmitri Nesteruk

Last Updated Aug 21, 2018

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What you'll learn

We live in a world of big data: huge amounts of data generated by social networks, governments, consumers and markets. Someone needs to make sense of all this data. In this course, Statistics Foundations: Understanding Probability and Distributions, you will learn the fundamental topics essential for understanding probability and statistics. First, you will have an introduction to set theory, a non-rigorous introduction to probability, an overview of key terms and concepts of statistical research. Then, you will discover different statistical distributions, discrete and continuous random variables, probability density functions, and moment generating functions. Finally, you will use key distribution measures such as mean and variance, and explore topics of covariance and correlation. By the end of this course, you’ll be able to look at data and reason about it in terms of its descriptive statistics and possible distributions.

Statistics Foundations: Understanding Probability and Distributions
Beginner
4h 24m
(90)
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About the author
Dmitri Nesteruk - Pluralsight course - Statistics Foundations: Understanding Probability and Distributions
Dmitri Nesteruk
17 courses 4.5 author rating 1936 ratings

Dmitri is a developer, speaker, podcaster, technical evangelist and wannabe quant.

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