In the spotlight
You’re invited! Join us for Radar: Skills Edition
Join us for a full day of conversations and insights on how data and AI are ushering in a new era of skills.
DataCamp Team
January 20, 2025
Most recent
Gemini 2.0 Flash Thinking Experimental: A Guide With Examples
February 6, 2025
DeepSeek's Janus Pro: Features, DALL-E 3 Comparison & More
January 28, 2025
OpenAI's Operator: Examples, Use Cases, Competition & More
January 24, 2025
Trending
8 Top Open-Source LLMs for 2024 and Their Uses
Discover some of the most powerful open-source LLMs and why they will be crucial for the future of generative AI
Javier Canales Luna
August 8, 2024
Javier Canales Luna
January 26, 2025
Matt Crabtree
Adel Nehme
November 22, 2024
Adel Nehme
Matt Crabtree
November 21, 2024
Elena Kosourova
October 2, 2024
OpenAI's Deep Research: A Guide With Practical Examples
Learn about OpenAI's new Deep Research tool, which can perform in-depth, multi-step research.
Alex Olteanu
February 5, 2025
All posts
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: 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
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: 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: 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: 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 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
How Technical Recruiters Can Stay Competitive in Changing Economic Times
The current market dynamics, state of inflation and fears of a recession have made recruiting for technical talent even more complex. Despite this, there are opportunities for technical recruiters to stay competitive and beat out the competition for top top talent.
Meredith Esquivel
August 31, 2022
Power BI vs Excel: Which Should You Use?
Learn the differences and similarities between Power BI and Excel, and when you should use each.
Joleen Bothma
January 24, 2025
15 Best Machine Learning Books to Read in 2025
Machine learning is one of the hottest topics in data science. Here is a list of 15 books to break into the field or become an expert
Javier Canales Luna
May 31, 2024
25 Machine Learning Projects for All Levels
Machine learning projects for beginners, final year students, and professionals. The list consists of guided projects, tutorials, and example source code.
Abid Ali Awan
November 17, 2024