Tag Archives: data science course

Color in Visualizations: Using it to its Full Communicative Advantage

When using big data, you will want to make visualizations. How do you use color to the greatest communicative advantage?

Color in visualizations of data curation and other data science documentation can be used to enhance communication – I show you how!

Data Curation Solution to Confusing Options in R Package UpSetR

It is possible to use data curation to solve the problem of a confusion vector containing options.

Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.

Need an Online Curriculum in Data Science or Public Health that is Engaging? Here are my Freebies and Hacks!

This blog post talks about how I use deeper learning principles when I develop online curricula for public health and data science.

Need online curriculum in data science or public health that keeps the learners engaged? I share a links to free resources as well as my hacks to interest high!

Healthcare Data Science Newbie Do-it-Yourself Starter Kit

The tools for healthcare data science include both descriptive and inferential statistics

Monika posts her “data science newbie do-it-yourself starter kit”, with links to cheap or free learning resources for the data science newbie who wants to get started in healthcare analytics.

Sort Order, Formats, and Operators: A Tour of The SAS Documentation Page

SAS software sorting a to z or using arithmetic operators

Get to know three of my favorite SAS documentation pages: the one with sort order, the one that lists all the SAS formats, and the one that explains all the SAS operators and expressions!

Announcing the Publication of my New SAS Book on Data Warehousing

Learn how to do data warehousing in SAS. You can purchase this book and use the code in it to help you.

SAS is known for big data and data warehousing, but how do you actually design and build a SAS data warehouse or data lake? What datasets do you include? How do you transform them? How do you serve warehouse users? How do you manage your developers? This book has your answers!

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