The huge volume of Big Data produced by sensors, genomic sequencers, electronic exchanges, and connected devices continues to generate headlines but it’s the diverse types of data, not the volume, that’s a bigger challenge to data scientists and is causing them to “leave data on the table.” 82 more words
Tags » Data Scientist
So how do you find and hire these newly essential employees? Not easily, according to data scientists Max Song and Carl Shan, who are working on a… 192 more words
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The RStudio team recently rolled out new capabilities in RStudio, shiny, ggvis, dplyr, knitr, R Markdown, and packrat. The “Essential Tools for Data Science with R” …
New programs provide big data and analytics degree seekers with skills that merge business and IT for successful data science careers.
Working hand in hand with universities and business schools, IBM is helping expand and launch new curricula providing students with business knowledge and IT skills for data intensive careers. 36 more words
One of the main differences between a data scientist and a data engineer has to do with ETL versus DAD.
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