Category Archives: Data Science
Hadoop MapReduce Example – How good are a city’s farmer’s markets?
[youtube http://www.youtube.com/watch?v=KwW7bQRykHI]
DJ Patil at LeWeb, December 2012
[youtube http://www.youtube.com/watch?v=J_CYKk8q1Ao] Summary of the presentation by Ben Rooney here Update: Ben Rooney interviews DJ Patil [youtube http://www.youtube.com/watch?v=0LtzMhr0ZCM]
Past Courses in Big Data Analytics and Data Science: Content Online
Past Courses in Big Data Analytics and Data Science Content Online Analyzing Big Data with Twitter (UC Berkeley, School of Information) (Fall 2012) Introduction to Data Science (Columbia University, Statistics Department) (Fall 2012 Introduction to Data Science (UC Berkeley, Computer Science) (Spring … Continue reading
Graduate Programs in Big Data Analytics/Data Science
Updated list here Bentley University M.S. in Marketing Analytics DePaul University M.S. in Predictive Analytics
Jeff Hammerbacher on the Future of Data Science
[youtube http://www.youtube.com/watch?v=OVBZTDREg7c]
Big Data Quotes of the Week
“Data is everywhere. It exists. We’re just pulling it into one place and our goal is to make it consumable for teachers”–Fahad Hassan, Always Prepped “A lot of people are changing their title, but they’re not really data scientists, … Continue reading
Data Scientists: The Definition of Sexy
I put “sexy” in the title because I’m told that the words in the title make all the difference in getting noticed on the Web. That has certainly proven true for the Harvard Business Review after it included the word “sexiest” in the title … Continue reading
Data Science Up, Social Media Down
“Data Scientist” Job Trends “data Scientist” jobs Social-Media Job Trends Social-media jobs
Big Data Quotes of the Week, September 21, 2012
“When the term data scientist was first discussed 18 months ago, Frankenstein’s laboratory came to mind. As we continue to research the job descriptions of data scientists, we now realise it’s a legitimate role that is useful in a lot … Continue reading
The Trouble with Big Data
Douglas Merrill, former CIO/VP of Engineering at Google, has issued an important warning about big data: “With too little data, you won’t be able to make any conclusions that you trust. With loads of data you will find relationships that … Continue reading