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You're reading from  Cracking the Data Science Interview

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781805120506
Edition1st Edition
Concepts
Data Science
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Authors (2):
Leondra R. Gonzalez
Leondra R. Gonzalez
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Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
Read more about Leondra R. Gonzalez

Aaren Stubberfield
Aaren Stubberfield
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Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
Read more about Aaren Stubberfield

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Describing data with descriptive statistics

Descriptive statistics are values that summarize the characteristics of a dataset. Before working on a project, data scientists use descriptive statistics to better understand the dataset they are working with. Think of it like exploring a treasure chest of information, with descriptive statistics as your guide to finding important details.

In your technical interview, you will be expected to be able to understand and use descriptive statistics. In this section, we will look at how to measure the central tendency of our dataset, then explore measures of variability or how dispersed and how much spread our dataset has.

Measuring central tendency

We are exposed to measures of centrality every day. For instance, if you live in the US, you might have heard that home prices in the state of California of the US are, on average, higher than in the state of Ohio. Of course, this doesn’t mean that every home in California is more expensive...

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Cracking the Data Science Interview
Published in: Feb 2024Publisher: PacktISBN-13: 9781805120506
© 2024 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
Read more about Leondra R. Gonzalez

author image
Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
Read more about Aaren Stubberfield

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