|
Abstract:
|
The nation's ability to make use of big data depends heavily on the availability of a workforce that is properly trained and ready to tackle these high-need areas. However, this workforce is not presently available and it is unclear whether enough students are being trained to be fluent and ready to adapt to the changing demands of a world awash with big data. The Committee on Applied and Theoretical Statistics (CATS) of the National Academies of Sciences, Engineering, and Medicine is establishing a roundtable focusing on data science education and practice. This JSM invited panel will discuss some of these issues underlying the roundtable, including: What big data skills are most important for different career paths? What courses and training would provide a solid foundation for an undergraduate or graduate student interested in big data problems? What different types of preparation might be useful for different categories of data scientists? What is the role of on-the-job training and continuing education?
|
