Data Literacy Articles

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

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.

In part 11 of data demystified, we examine how AI is covered in the news, how it can lead to the AI hype trap, and how to not fall into it.

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 the fourth entry of data demystified, we’ll break down the four types of analytics. From a descriptive to prescriptive, we’ll look at how analytics can answer the most pressing questions.

In the fifth entry of data demystified, we provide an overview of the basics of descriptive statistics, one of the fundamental areas of data science.

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.

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

We’re excited to announce our four-part webinar series covering organizational data maturity. Sign up and gain a full overview of what is required to become a data-driven organization.

Discover the most in-demand data skills and why employers are seeking skilled individuals. Plus. find out how you can improve your data knowledge in key areas.

Improve your students’ data literacy by working on collaborative data science projects in DataLab, DataCamp's AI-enabled data notebook.