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| Purpose: Content:
Understand the six Vs of big data
Role of theory in big data
Research design and sampling issues in big data
Ontological and epistemological issues in research involving big data
Collect, fuse and integrate structured and unstructured data from multiple sources
Preparing data for machine learning
Basics in computer programming for big data analysis
Machine learning techniques to predict, classify, and cluster large data sets using simple algorithms |