Tag

data

Free eBook: Exploring Data with Python

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Chapters selected by Naomi Ceder

Building your Data Pipeline with JavaScript


slideshare-build-your-data-pipeline-with-javascript

By Ashley Davis

Free eBook: Exploring the Data Jungle: Finding, Preparing, and Using Real-World Data

exploring-the-data-jungle

Chapters selected by Brian Godsey

Managing Quality

From The Art of Data Usability by Tryggvi Björgvinsson

This article discusses quality management in terms of data and data projects. When you know what your users need or want, you’ll have to manage those expectations somehow, but how do you manage quality? It turns out that you approach it similarly to how you would try to properly answer a question.

Learning from the Past: data usability

From The Art of Data Usability by Tryggvi Björgvinsson

Everywhere we go we are surrounded by data, but it’s not always simple to interpret. Not only that, it’s also rather easy to mistakenly interpret data. This article, adapted from chapter 1, introduces the idea of “data usability” and goes into why it’s important in today’s data-rich world.

Murder Mystery: a data project


slideshare-murder-mystery-a-data-project

By Tryggvi Björgvinsson

Building and Using Real-World Models

From Machine Learning Systems by Jeff Smith

Actually using models in the real world is tough. To learn about all the complexity of using models in the real world, we’re going to need to move to the bustle of the big city. This article considers the fastest moving animals in the city, turtles.

Specifying Data Type in R


slideshare-specifying-data-type-in-r

By Dr. Jonathan Carroll

How to Choose Statistical Software Tools: the good, the bad, and the helpful for data science projects

From Think Like a Data Scientist by Brian Godsey

In this article, you will learn about how to choose statistical software tools – what’s important to look for and the things you should consider while choosing the software that’s right for the job.

 

Check Your Assumptions about Your Data!

From Think Like a Data Scientist by Brian Godsey

In this article, we’re going to discuss the importance of identifying and reviewing any assumptions you might have about the data you’re working with.

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