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A beginners guide to R programming

Author: Eduonix,; Packt Publishing,
Publisher: [Place of publication not identified] : Packt Publishing, 2018.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
"The importance of data is undeniable with companies fighting over the right to your data. The power of data has exceptionally grown in today's world where data offers everything you need to know about a person or a potential future trend. This has companies scouring to find amazing data analysts that can help them make sense of the large sets of data available. Companies are using this data to make decisions that  Read more...
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Genre/Form: Instructional films
Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Eduonix,; Packt Publishing,
OCLC Number: 1048631215
Notes: Title from resource description page (Safari, viewed August 16, 2018).
Description: 1 online resource (1 streaming video file (4 hr., 24 sec.)) : digital, sound, color
Other Titles: Learning R programming : understanding concepts
Responsibility: Eduonix.

Abstract:

"The importance of data is undeniable with companies fighting over the right to your data. The power of data has exceptionally grown in today's world where data offers everything you need to know about a person or a potential future trend. This has companies scouring to find amazing data analysts that can help them make sense of the large sets of data available. Companies are using this data to make decisions that can change the direction of the world. This is why R is currently one of the most important languages on the tech market. So, if you want to master R - you've come to the right place! Our R course is taking you back to the basics to help you breakdown the dynamic and easy R programming language. The course doesn't simply focus on the theory, but also on how to actually work with data by showing you the step-by-step process and helping you build your own experimental programs. These will also help you get some insight into how you can actually write programs using R and how you can analyze data sets to create graphical representations of the data that you have. At the end of this course, you'll have the knowledge as well as the confidence to start working on analyzing large data sets and turning them into data that makes sense. Enroll now and become a master analyst with this basics course!"--Resource description page.

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