- Duration: 2h 12m 48s
- Skill Level: Beginner
- Released: October 22, 2014
- Viewers: 78,583
Learn the most in-demand business, tech and creative skills from industry experts.
Course detailsBig 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.
- 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…
Practice while you learn with exercise filesDownload the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.Download the exercise files for this course. Get started with a free trial today.
Watch this course anytime, anywhere. Get started with a free trial today.