R is an open source project including a language and an environment for statistical computing and graphics. This course will give attendees an in depth introduction to R and it use as a data analysis tool. The course examines a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques for working with data. Hands on labs will give attendees practical experience curating data, working with R commands for statistics and visualization as well as a short introduction to programming in R. Upon completion, attendees will have a broad but practical understanding of R and is use in data analysis.
This course is designed to provide attendees with a practical introduction to data analysis with R.
Who Can Benefit
Application developers, analysts and data scientists
Each attendee will require the ability to run a 64 bit virtual machine (provided with the course). Basic Linux command line skills are valuable but not required.
https://www.exitcertified.com/training/rx-m/big-data-analytics/r-for-data-analysis-50477-detail.htmlCN2-R-DAR for Data Analysishttps://assets.exitcertified.com/assets/CourseImages/4e024b9ba8/AdobeStock_191686919__FitMaxWzEwMDAsMTAwMF0.jpg1900.00USDInStock/Training/RX-M/Big Data & AnalyticsR is an open source project including a language and an environment for statistical computing and graphics. This course will...1900.00RX-MClassroom2017-01-28T23:53:12+00:00USD