dcblogs writes: Michael Rappa, who created the nation’s firms Masters in Data Analytics program at North Carolina State University, explained in an interview the types of training that students seeking big data jobs will need. For undergrads, his advice “is to line-up your coursework with the necessary prerequisites in math, statistics and computer science, to prepare for graduate education. This means going beyond a year of calculus and into linear and matrix algebra. Don't stop with the mandatory course in probability and statistics, which is common with many majors. Take additional courses in areas like multivariate regression and statistical programming.” He believes many will need advanced degrees in data analysis as well. Some occupational roles will require additional computer and statistical programming skills, other roles will require new data management and data cleaning skills, and yet other roles will require skills in data visualization and interpretation.
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