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.

Explore the top machine learning interview questions with answers for final-year students and professionals.

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 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.

Learn the critical difference between correlation and causation in data analysis. Understand real-world examples and avoid common pitfalls in interpreting data.

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

In part eight of data demystified, we’ll dive deep into the world of data visualization, starting off with visualizations that capture trends.

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?