“Without statistics, big data is never going to reach its full potential. And perhaps even more importantly, without informed consumers, big data can be used for misleading and downright dangerous conclusions.” Andrew Pease ( November 3, 2014 )

“Mix of algorithms is almost always better than one single algorithm.” Caitlin Smallwood

“Model’ means different things to different people and different things at different times.” Kevin Gray

“Be the Google of Your Organization: Everybody understands that data is key to Google’s dominance. Companies across every industry are trying to establish themselves as the owners and users of the best data available. Watching this data gold rush, it can be easy to forget about the opportunities much closer to home. Within your company, some people are using data to create and advocate effective strategic arguments. How do you ensure that you are a Google within your company, instead of an Alta Vista?” Matt Ritter ( January 5, 2016 )

“Data Isn’t Numbers, It’s People.” Riley Newman ( July 07, 2015 )

“I always try to look at the problem from the end. When you start from the beginning and everything is blue sky, there are hundreds of ideas to chase as well as thousands of ideas to try and, since everything is possible, nothing ever gets done.” Jonathan Lenaghan

“Data science is an interdisciplinary endeavor born of the synergy between computing, statistics, data management, and visualization. This can make it challenging to get started, because you have to know so many things before you get to the good stuff. We’re going to try to ease into it by starting with computational explorations of mathematical and statistical concepts.” Bob Horton ( January 20, 2015 )

“Employers are looking for generalists who can create bridges between the different areas.” Jeff Stanton ( 2014 )

“Digital leaders know their data.” Mark Barrenechea ( September 11, 2015 )

“In reality, almost no one actually cares about predictive accuracy because in almost all the cases, their starting point is nothing. The number of industries where the difference between 85 versus 90 percent accuracy is the rate-limiting factor is very small.” Eric Jonas