Explore content produced by the UC Berkeley School of Information's online graduate programs.

On the Shelf: Data Science Books

Want to know more about the business, sociology, or nitty—gritty of data science? Here are some great books on the discipline to get you on your way…

Out of My League: A Professor Looks at Dating’s ‘Matching Hypothesis’

In the mid-2000s, a team that included faculty from the UC Berkeley School of Information began to use large-scale data to investigate a variety of questions about romantic relationship formation in online settings.

Amy Webb: How I Hacked Online Dating

Amy Webb used data science to find love. After a difficult breakup of a relationship when she was 30, and feeling the pressure of her heavily involved family, this data geek started crunching numbers to game the online dating system in search of true love.

Big Data Seeks Online Love [Infographic]

In this infographic, datascience@berkeley explores the past, present, and future of online dating. How do dating sites’ matching algorithms work? What data do users rely on when judging prospective dates? How can you optimize your profile to find that perfect match? Watch as Big Data Seeks True Love.

Kevin Slavin: How Algorithms Shape Our World

In this TED Talk, algoworld navigator and data science expert Kevin Slavin discusses how the world we’re now living in is designed for algorithms that are increasingly controlling our lives and shaping our world.

Data Innovation Day: Big Data and the U.S. Census

Eric Newburger’s lunch keynote entitled “Why the Census? Big Data From the Enlightenment to Today” was a clear favorite for many attendees at Data Innovation Day. In the talk, Newburger explored the history of the U.S. Census Bureau — arguably one of the most data-rich resources in the United States.