Data Science

Machine learning & data science for beginners and experts alike.

Best Practices

Back to the Future: ARIMA and Forecasting with Covariates

Your time series analysis and forecasts are already awesome, no doubt. But could they be even better with a covariate series?

Best Practices

42 sec to read

Creativity in Data Science: An Interview with Ben Moss, ACE

What’s the role of creativity in data science? Ben Moss, Alteryx ACE, explains in this video how creativity informs his work and helps him learn and teach new concepts, like optimi...

Alteryx Designer

3 min to read

Alteryx Predictive Tools Flowchart

Have you ever felt lost when facing a long list of models, not knowing which one you should choose for your problem? These Predictive Flowcharts give some ideas and guidance.

Best Practices

4 min to read

Is the Future of Data Science Female?

Data science projects benefit from diverse perspectives and skills. What do we know about the next generation of data professionals?

Best Practices

4 min to read

Data Visualization and Accessibility: Three Recommended Read...

You could make a data visualization that you think is the most beautiful thing ever -- but it could be mostly useless for many viewers. Learn about some key ways to make your data...

Best Practices

2 min to read

A Guide to Data Science Resources

Grab this guide to advance your adventures in data analytics, using resources from the Data Science Blog and the Alter Everything podcast.

Best Practices

13 min to read

Fighting Disease with Data: Q&A with Epidemiologist Amrish B...

Data science tools are powerful for investigating the current pandemic and other outbreaks. Epidemiologist and R Epidemics Consortium leader Amrish Baidjoe shared his insights into...

Alteryx Designer

3 min to read

One-Hot Encoding - What's It All About?

After using the predictive tools in Alteryx over the years I became frustrated with how to correctly use non-binary categorical variables in predictive modelling, and wondered how...

Best Practices

8 min to read

Repairing Broken Models (or Not) During a Pandemic

What do you do when you have an amazing, even award-winning, model based on years of work that is suddenly wrecked by a global pandemic?

Best Practices

3 min to read

Interactivity That Works: Designing COVID-19 Data Experience...

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?

Best Practices

7 min to read

Outbreak Analytics: Data Science Strategies for a Novel Prob...

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 m...

Best Practices

10 min to read

A Good Honest Chart: Coronavirus Data Visualizations and How...

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

Best Practices

10 min to read

Adventures in Data: Exploratory Data Analysis

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.

Best Practices

10 min to read

Featuretools on Spark

While Dask can also be used for cluster computing, we wanted to demonstrate that Featuretools can run on multiple distributed computing frameworks.

Best Practices

11 min to read

Scaling Featuretools with Dask

In this article, we’ll see how to refactor our automated feature engineering code to run in parallel on all our laptop’s cores, in the process reducing computation time by over 8x.

Best Practices

4 min to read

Feature Engineering: Secret to Data Science Success

Feature engineering is challenging because it depends on leveraging human intuition to interpret implicit signals in datasets that machine learning algorithms use. Consequently, fe...

Best Practices

5 min to read

Applying Data Science Automation to Better Predict Credit Ca...

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...

Best Practices

4 min to read

This is How You Get Data Scientists and Analysts Working Tog...

Yin and yang, spaghetti and meatballs, ham and cheese. All these combinations work in perfect harmony. Now the challenge is: “How can data scientists and analysts also work in perf...

Best Practices

4 min to read

Behavioral Science Considerations for DTC Streaming

Personalized choice architecture is a new field, aiming to predict and influence individuals’ choices. The traditional behavioral economics aim to nudge a generic persona in a popu...

Alteryx Designer

5 min to read

Realtime ML Forecasting and Anomaly Detection in Alteryx Des...

The TIM Forecasting Tool is an implementation of the TIM RTInstantML technology in Alteryx Designer.

Alteryx Designer

5 min to read

Blending Fine Wine with Alteryx: An Optimization Tutorial

Last week I explained how linear programming works and discussed the wine blending use case. Today I walk you through how to perform this analysis in Alteryx Designer.

Alteryx Designer

9 min to read

Getting to Know Optimization: Linear Programming

Linear programming is the oldest of the mathematical programming algorithms, dating to the late 1930s. This article goes through a blending/mixing application to illustrate how lin...

Best Practices

4 min to read

Alteryx That Prophet Time Series with Python Code Tool

How about using Facebook's Prophet package for time series forecasting in Alteryx Designer? With Prophet, you are not stuck with the results of a completely automatic procedure if...