In the Spotlight
Introducing The State of Data Literacy Report 2023
Explore the key takeaways from our State of Data Literacy report, including essential stats, insights, and opinions from business leaders.
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Introduction to Unsupervised Learning
March 31, 2023
Bard vs ChatGPT for Data Science
March 22, 2023
Trending
20 Data Analytics Projects for All Levels
Explore our list of data analytics projects for beginners, final-year students, and professionals. The list consists of guided/unguided projects and tutorials with source code.
DataCamp Team
December 14, 2022
Eugenia Anello
August 10, 2022
Sandra Kublik
Shubham Saboo
May 18, 2022
The 23 Top Python Interview Questions & Answers
Essential Python interview questions with examples for job seekers, final-year students, and data professionals.
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DataCampers Volunteer Summer 2022
Many nonprofits need volunteers to participate in their workshops and training. Therefore, all year long we try to find volunteering opportunities.
Rayan Elatmani
September 8, 2022
The Top 15 Data Scientist Skills
A list of the must-have skills every data scientist should have in their toolbox, including resources to develop your skills.
Data Demystified: Data Visualizations that Capture Distributions
In part 10 of data demystified, we’ll dive deep into the world of data visualization, continuing with visualizations that capture distributions.
Data Demystified: Data Visualizations that Capture Trends
In part eight of data demystified, we’ll dive deep into the world of data visualization, starting off with visualizations that capture trends.
Data Demystified: Data Visualizations that Capture Relationships
In part nine of data demystified, we’ll dive deep into the world of data visualization, continuing with visualizations that capture relationships.
Data Demystified: The Different Types of AI Bias
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.
Data Demystified: Avoiding the AI Hype Trap
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.
Announcing Data Literacy Month
This September, we’re dedicating an entire month to covering data literacy. Here’s what you can expect.
Data Demystified: The Difference Between Data Science, Machine Learning, Deep Learning, and Artificial Intelligence
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.
Data Demystified: An Overview of Descriptive Statistics
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.
Data Demystified: The Four Types of Analytics
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.
Data Demystified: Correlation vs. Causation
In part six of data demystified, we’ll break down one of the biggest fallacies in data: Correlation does not imply causation