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Practical Data Science


How Non-Technical Teams Can Use Predictive Analytics (Part 2 of 2)

Predictive analytics is not just for data scientists. We explain how business analysts and other non-technical users can get the most out of their organization's data.

Putting Predictive Analytics into Practice in the Real World (Part 1 of 2)

Predictive analytics doesn't have to be mystifying. Here are the basics you need to know.

How to Strengthen the Pillars of Data Analytics for Better Results

How organizations can respond with agility, performance, and speed to the rapid business changes of the pandemic era.

Data Stories: Voting Infographic, UK Voting Rates, Politics by Color

Tracking the status of U.S. voting options, exploring statistics from the U.K., and how satellite imagery mirrors the political spectrum.

Data Stories: Data Generation, Website Growth, Digital Transformation

Data visualizations help us think about how much data is being created, how popular the biggest websites are, and what the future of data looks like.

Constellation, Meteor, or Just Another Plane?

Our brains have the natural ability to see clusters of like objects and identify outliers. With unsupervised learning algorithms, computers can start doing the same.

Data Stories: Remembering Music, Exploring Repetition, and Defining Genre

These data visualizations show how quickly popular music is forgotten, how important repetition is to pop songs, and what type of lyrics characterize the subgenre of power metal.

How Enterprises Misinterpret Agile Principles and Rush to Do Too Much

The agile methodology isn't just about doing more in less time. Instead, focus on doing less to achieve more.

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