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Teachers & Students Get Premium DataCamp Free Their Entire Academic Careers
No hacks, no tricks. Students and teachers, read on to learn how to get the data education that’s rightfully yours for free.
Nathaniel Taylor-Leach
August 18, 2023
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The Top 12 AI Frameworks and Libraries: A Beginner's Guide
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11 Top Tips to Use AI Chatbots to Test Your Design
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5 Unique Ways to Use AI in Data Analytics
September 29, 2023
Trending
How to Learn Python From Scratch in 2023: An Expert Guide
Discover how to learn Python, its applications, and the demand for Python skills. Start your Python journey today with our comprehensive guide.
Matt Crabtree
Adel Nehme
July 7, 2023
Adel Nehme
Matt Crabtree
May 25, 2023
Elena Kosourova
September 12, 2023
Abid Ali Awan
December 21, 2022
DataCamp Team
July 24, 2023
7 Essential Generative AI Tools for Building Stand-Out AI Applications
Dive into the technical building blocks of Generative AI, from APIs to LLMOps tools for sustainable app development.
Abid Ali Awan
August 28, 2023
All posts
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.
Richie Cotton
September 1, 2022
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.
Richie Cotton
September 1, 2022
Data Demystified: What Exactly is Data?
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?
Richie Cotton
September 1, 2022
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.
Richie Cotton
September 1, 2022
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.
Richie Cotton
September 1, 2022
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
Richie Cotton
September 1, 2022
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.
Richie Cotton
September 1, 2022
Announcing Data Literacy Month
This September, we’re dedicating an entire month to covering data literacy. Here’s what you can expect.
Adel Nehme
September 1, 2022
Data Demystified: Quantitative vs. Qualitative Data
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.
Richie Cotton
September 1, 2022
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.
Richie Cotton
September 1, 2022
Data Demystified: What is A/B Testing?
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.
Richie Cotton
September 1, 2022
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.
Richie Cotton
September 1, 2022