Why is data important? Learn about the importance of data in the world today and discover some courses to help you improve your own data skills.

The CDP team provided market-leading environmental data products and services to organizations reporting data on climate change, water security and deforestation.

In this infographic, get a download of what the machine learning workflow looks like.

Prepare for your interview with this comprehensive guide to machine learning questions, covering everything from basic concepts and algorithms to advanced and role-specific topics.

Many nonprofits need volunteers to participate in their workshops and training. Therefore, all year long we try to find volunteering opportunities.

A list of the must-have skills every data scientist should have in their toolbox, including resources to develop your skills.

In part 10 of data demystified, we’ll dive deep into the world of data visualization, continuing with visualizations that capture distributions.

In the second entry of data demystified, we’ll take a look at the two most common data types: Quantitative vs Qualitative Data. For more data demystified blogs, check out the first entry in the series.

Welcome to Data Demystified! A blog-series breaking down key concepts everyone should know about in data. In the first entry of the series, we’ll answer the most basic question of them all, what exactly is data?

In part seven of data demystified, we’ll break down one of the most common use cases of statistical analysis in data science: A/B testing.

In the third entry of data demystified, we’ll define the most common pieces of jargon you hear in data science today. From machine learning to deep learning, here’s all the subfields of data you need to know.

This September, we’re dedicating an entire month to covering data literacy. Here’s what you can expect.