Categories
Mathematics, Computer Science, Technology, Computer Science
Description
Commerce and research are being transformed by data-driven discovery and
prediction. Skills required for data analytics at massive levels – scalable
data management on and off the cloud, parallel algorithms, statistical
modeling, and proficiency with a complex ecosystem of tools and platforms
– span a variety of disciplines and are not easy to obtain through conventional
curricula. Tour the basic techniques of data science, including both SQL
and NoSQL solutions for massive data management (e.g., MapReduce and contemporaries),
algorithms for data mining (e.g., clustering and association rule mining),
and basic statistical modeling (e.g., linear and non-linear regression).