Data Science Blog

Machine learning & data science for beginners and experts alike.
Alteryx Community Team
Alteryx Community Team

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Data science tools are powerful for investigating the current pandemic and other outbreaks, when accurate and actionable data are crucial. Epidemiologist and R Epidemics Consortium leader Amrish Baidjoe shared his insights into using data science to fight disease, from modeling to automation to new technologies.

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Alteryx Community Team
Alteryx Community Team

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Koalas seem super chill, but a little chaos and disorder -- aka entropy, in the data science world -- might be key to saving them, plus some innovative analytics and mapping. Cuteness plus data!

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Alteryx Community Team
Alteryx Community Team

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Last week I posted a full introduction to factor analysis, plus a workflow demonstrating one use of this analytic approach in Designer. But now the process is even easier with a macro -- attached at the bottom of this post -- that you can easily grab and put into your own workflow!

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Alteryx Certified Partner
Alteryx Certified Partner
Alteryx Community Team
Alteryx Community Team

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What if you believe something is happening in your data that isn’t precisely reflected by a single variable you measured -- maybe because it wasn’t or couldn’t be observed? Learn about one way to identify explanations for that mystery.

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Alteryx Community Team
Alteryx Community Team

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So many decisions go into the data science process. New automated tools let machines and humans collaborate on making the right choices.

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Alteryx Community Team
Alteryx Community Team

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Simple enough for statistical beginners, powerful enough to help solve big problems: That’s what some data analytics students learned about linear regression in a recent data challenge. 

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Alteryx Certified Partner
Alteryx Certified Partner
Alteryx Certified Partner
Alteryx Certified Partner

dogorcat.pngRead on for practical (and fun) examples of what KNN analysis is and how simple it is to perform in Alteryx.

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Alteryx Community Team
Alteryx Community Team
Alteryx Certified Partner
Alteryx Certified Partner
Alteryx Community Team
Alteryx Community Team

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We’d planned to celebrate Take Your Kids to Work Day with this fun new video, but right now, you may be working alongside your kids every day. Maybe it’s time to share some data expertise with them -- and do some laundry, too!

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Alteryx Community Team
Alteryx Community Team
Alteryx Certified Partner
Alteryx Certified Partner
Alteryx Partner
Alteryx Community Team
Alteryx Community Team

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Now, at your fingertips, a one-page summary of key Python Tool functions! You’ll also find productivity-maximizing Jupyter Notebook keyboard shortcuts and some essential functions for manipulating your data with pandas.

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Alteryx Community Team
Alteryx Community Team

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How do you figure out what to include in an interactive data experience, and how do you design it to effectively communicate a data story? The many COVID-19 data dashboards all look and feel different. Our podcast details the creation of one of the most visited pandemic data sites, and we've got more stories of data communication and design here, plus resources.

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Alteryx Community Team
Alteryx Community Team

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You walk down one aisle of the grocery store to get your favorite cereal. On the dairy aisle, someone sick from COVID-19 coughs. Did your decision to grab your cereal before your milk possibly keep you healthy? How can these unpredictable, near-random choices be included in complex models?

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Alteryx Community Team
Alteryx Community Team

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Data visualizations are a critical part of communicating complex information. How can we use them to generate the right questions and start good conversations?

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Alteryx Certified Partner
Alteryx Certified Partner
Alteryx Community Team
Alteryx Community Team

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You want to jump right into that fantastic dataset, but wait! Let's do some exploration to map out your journey and gain even more insight.

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5 - Atom
5 - Atom
Alteryx
Alteryx

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Feature engineering is challenging because it depends on leveraging human intuition to interpret implicit signals in datasets that machine learning algorithms use. Consequently, feature engineering is often the determining factor in whether a data science project is successful or not.

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5 - Atom

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An industry report from 2015 found that one out of every six legitimate cardholders experienced at least one declined transaction because of inaccurate fraud detection in the past year.

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Alteryx Partner