Discover what a data analyst is, what they do, and what you need to break into one of the most in-demand careers in data science.

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

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.

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.

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

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 final part of data demystified, we outline the most common types of AI bias, and why data literacy helps avoid harmful impacts from AI.

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.

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