A Deluge of Data and a Dearth of Data Scientists
The 2014 Series of PACE Data Mining Boot Camps Kicks Off on February 26-27
Each day, our society creates 2.5 quintillion bytes of data (that’s 2.5 followed by 18 zeros). With this glut of data the need to make sense of it becomes more acute, and the demand for qualified data scientists is cause for concern.
According to the McKinsey Global Institute’s Report, Big data: The next frontier for innovation, competition, and productivity, by 2018, the U.S. alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of “Big Data” to make effective decisions.
Who are these mysterious data scientists? What kinds of skills should they have? What are their characteristics and qualities? Where can you find them?
The San Diego Supercomputer Center (SDSC) launched the two-day series of Data Mining Boot Camps (BCs) to help enterprises expand the analytical skills of their own subject matter experts to develop a built-in pool of talented data scientists as well as to prepare managers and analysts to dive deeply into their Big Data to make wise business decisions.
The BCs provide the Big Data community with conceptual and hands-on training with critical predictive analytic tools and techniques that non-computer science professionals can use to discover patterns and relationships that in turn translate to accurate, actionable and agile data.
Boot Camp training includes –
· Overview: Data Mining, Machine Learning, and Statistics
· Overview of CRISP-DM: Cross Industry Standard Process for Data Mining
· Introduction to Data Mining Tools
· Data Preparation
· Learning Algorithms Implementations
· Model Evaluation and Validation
· Data Mining Trends, Applications and Guidelines
The 2014 Series of Boot Camps are held at the SDSC on the campus of UC San Diego. Graduate students, postdoctoral fellows, faculty and national lab employees qualify for an educational rate of $695, a $600 savings. Please enter the code “EDU” and use your academic organization, title and email address when registering.