In this course, Barton Poulson tells you the methods that do work, introducing all the techniques and concepts involved in capturing, storing, manipulating, and analyzing big data, including data mining and predictive analytics. He explains big data's relationship to data science, statistics, and programing; its uses in marketing, scientific research, and tools like Amazon's recommendation engine; and the ethical issues that lie behind its use.

Topics include:

• What makes big data "big"
• Understanding how big data impacts consumers, businesses, and research
• Exploring the intersection of data science and big data
• Facing big data's ethical challenges
• Understanding the sources and structures of big data
• Storing big data
• Prepping big data for analysis

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