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Learning Path: R Programming for Data Analysts /
15+ Hours of Video Instruction R Programming Data Analyst Learning Path , is a tour through the most important parts of R, the statistical programming language, from the very basics to complex modeling. It covers reading data, programming basics, visualization, data munging, regression, classificati...
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| Formato: | Electrónico Video |
| Idioma: | Inglés |
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[Place of publication not identified] :
Addison-Wesley Professional,
2016.
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| Edición: | 1st edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Lander, Jared, |e author. | |
| 245 | 1 | 0 | |a Learning Path: |b R Programming for Data Analysts / |c Lander, Jared. |
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| 264 | 1 | |a [Place of publication not identified] : |b Addison-Wesley Professional, |c 2016. | |
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| 520 | |a 15+ Hours of Video Instruction R Programming Data Analyst Learning Path , is a tour through the most important parts of R, the statistical programming language, from the very basics to complex modeling. It covers reading data, programming basics, visualization, data munging, regression, classification, clustering, modern machine learning, network analysis, web graphics, and techniques for dealing with large data, both in memory and in databases. Description This 15-hour video teaches you how to program in R even if you are unfamiliar with statistical techniques. It starts with the basics of using R and progresses into data manipulation and model building. Users learn through hands-on practice with the code and techniques. New material covers chaining commands, faster data manipulation, new ways to read rectangular data into R, testing code, and the hot package Shiny. Based on a course on R and Big Data taught by the author at Columbia Designed from the ground up to help viewers quickly overcome R's learning curve Packed with hands-on practice opportunities and realistic, downloadable code examples Presented by an author with unsurpassed experience teaching statistical programming and modeling to novices For every potential R user: programmers, data scientists, DBAs, marketers, quants, scientists, policymakers, and many others About the Instructor Jared P. Lander is the Chief Data Scientist of Lander Analytics, the organizer of the New York Open Statistical Programming Meetup (formerly the R Meetup) and an adjunct professor of Statistics at Columbia University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. He specializes in data management, multilevel models, machine learning, generalized linear models, data management, visualization, and statistical computing. He is the author of R for Everyone , a book about R Programming geared toward data scientists and non-statisticians alike. Very active in the data community, Jared is a frequent speaker at conferences, universities, and meetups around the world. He is a member of the Strata New York selection committee. Skill Level Beginner Intermediate Advanced What You Will Learn Installing R Basic math Working with variables and different data types Matrix algebra data.frames Reading data Data aggregation and manipulation plyr dplyr Making statistical graphs Manipulate text Automat... | ||
| 542 | |f Copyright © Addison-Wesley Professional |g 2016 | ||
| 550 | |a Made available through: Safari, an O'Reilly Media Company. | ||
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