Preparing data for analysis can incredibly time consuming. In this talk at the Open Data Science Conference in SF last week Nina Zumel & John Mount from Win-Vector, LLC with “Preparing Data for Analysis using R” Workshop. READ MORE
Edu-Videos | DATA MODELING (Predictive & Topic)
At the core of Data Science is DATA MODELING. In this post we offer some beginner videos and a podcast (from O’Reilly ) on Predictive Modeling and Topic Modeling. Enjoy! READ MORE
The Beginner’s Guide to Predictive Workforce Analytics
Today’s business executives are increasingly applying pressure to their Human Resources departments to “use predictive analytics”. This pressure isn’t unique to Human Resources as these same business leaders are similarly pressuring Sales, Customer Service, IT, Finance and every other line of business (LOB) leader, to do something predictive or analytical. READ BEGINNERS GUIDE TO PREDICTIVE WORKFORCE ANALYTICS”
Guest Blog Series | Statistics Denial, Best Statistical Practice (Post #5)
This is Part #5 in a series of popular articles by Randy Bartlett, Data Scientist and Author entitled, “Statistics Denial, Best Statistical Practice.” Read More
Guest Blog Series | Statistics Denial, Applied Statistics Is A Way Of Thinking, Not Just A Toolbox (Post #4)
This is the 4th post of a series of popular articles by Randy Bartlett, Data Scientist and Author entitled, “Statistics Denial, Applied Statistics Is A Way Of Thinking, Not Just A Toolbox.” This is the post #2 of series of popular articles by Randy Bartlett, Data Scientist and Author entitled, “Essays On Statistics Denial” READ MORE This is first of series of popular articles by Randy Bartlett, Data Scientist and Author entitled, “Preparing For The Coming Flood … Of Statistical Malfeasance: Amid the big data boom, the in-memory database market will enjoy a 43 percent compound annual growth rate (CAGR) – leaping from $2.21 billion in 2013 to $13.23 billion in 2018, predicts Markets and Markets, a global research firm Gartner. What’s driving that demand? Simply put, in-memory databases allow real-time analytics and situation awareness on “live” transaction data – rather than after-the-fact analysis on “stale data,” notes a recent Gartner market guide. Here are 19 in-memory database options mentioned in that Gartner market guide. Read More Gartner has published the “2015 Magic Quadrant for Advanced Analytics Platforms”, and I am pleased to share a complimentary copy of this important research with you via Alteryx. Read MoreGuest Blog Series | Statistics Denial, Statistics Debacles & The Coming Flood Of Statistical Malfeasance (Post #3)
Guest Blog Series | Essays On Statistics Denial (Post #2)
Guest Blog Series | “Preparing For The Coming Flood … Of Statistical Malfeasance”
— Identifying & Understanding Statistics Problems” READ MORESlideShow | 19 In-memory Databases for Big Data Analytics (Gartner)
FREE Report: Gartner’s 2015 Magic Quadrant for Advanced Analytics Platforms | via Alteryx