Master data analytics with these must-read data analytics books, offering insights for beginners and data science experts alike.

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science success rates.

Google’s data science agent does just that: The new, free, Gemini 2.0-powered AI assistant that automates data analysis is now available to users age 18-plus in select countries and languages.

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible.

This book sheds light on the data science capabilities of Python. It covers concepts like data manipulation, visualization, and machine learning, along with hands-on exercises to help apply Python to ...

Successful data scientists analyze data, identify patterns and build predictive algorithms. Learn how to take the next step to becoming a data scientist.

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

Pedro Morales-Almazan leads a new data science project that will provide professional development and facilitate cross-discipline collaborations.

Explore five reliable sources that offer free data sets for your next project. Access a diverse range of data across various domains to fuel your data-driven initiatives.