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Big Data Foundations: Techniques and Concepts

Course by: Barton Poulson
Big Data Foundations: Techniques and Concepts Watch preview
  • Course details

    Big data is big news. But what is big data, and how do we use it? Simply put, big data is data that, by virtue of its velocity, volume, or variety (the three Vs), cannot be easily stored or analyzed with traditional methods. Spreadsheets and relational databases just don't cut it with big data. 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.


    • Barton Poulson

      Barton Poulson founder & data do-gooder
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      Barton Poulson is a professor, designer, and data analytics expert.

      Barton has bridged the analytic and aesthetic for most of his life, with a background in industrial design, a Ph.D. in social and personality psychology, and a deep love for data analysis and data visualization as well as the visual and performing arts. Bart is an associate professor of psychology at Utah Valley University and has studied at Brigham Young University, the University of Utah, and the City University of New York. In his role as a teacher of research and analysis, he has conducted hundreds of studies with his students on topics from social identity and aspirations to implicit preferences for poetry and architecture. Bart and his wife, Jacque Lynn Bell, a modern dance choreographer, live with their three children in beautiful Salt Lake City.

      View all courses by Barton Poulson

    Skills covered in this course

  • Welcome

    - Hi I'm Bart Poulson and I'd like to welcome you to Techniques and Concepts of Big Data. Big Data refers to data that because of its size, speed or format, that is, its volume, velocity or variety, cannot be easily stored, manipulated or analyzed with traditional methods like spreadsheets, relational databases or common statistical software. We'll take a look at a practical definition of Big Data, how it relates to fields like data science, statistics and programming and the variety of people and skills involved with Big Data. We'll also discuss how Big Data has been used in fields such as marketing and scientific research, how Big Data influences customer services like recommendation engines and the ethical issues raised by Big Data. Finally, we'll go over common methods for generating or capturing Big Data, storing and manipulating Big Data and analyzing and visualizing Big Data, including data mining and predictive analytics. The applications of Big Data have been extraordinary…

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Course Contents