MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | Lec: 62 | 586 MB
Genre: eLearning | Language: English
Genre: eLearning | Language: English | Duration: 4.5 hours | Size: 2.67 GB
https://www.udemy.com/course/data-analysis-and-visualisations-using-r
Learn how to use the R programming language for Data Analysis and Data visualization!(GGPlot2, Statistical, Packages)
https://www.linkedin.com/learning/sas-programming-for-r-users-part-2
SAS Programming for R Users explores how you can apply your understanding of R—the language of big data—in the SAS environment. In this course, Jordan Bakerman walks through essential SAS programming concepts. To begin, he discusses random number generation and plotting, including how to create standard R plots and enhance the plot. He then dives into a discussion of descriptive procedures, Output Delivery System (ODS), and macros, sharing how to create data tables with ODS, create macro programs with macro statements, and more.
https://www.linkedin.com/learning/sas-programming-for-r-users-part-1
SAS is a hugely popular data analytics platform with millions of users. R is the language of big data. In this course, enhance your programming skill set by learning how to apply your understanding of R in the SAS environment. Instructor Jordan Bakerman kicks off the course with an introduction to SAS and SAS Studio. He covers several essential concepts, including how to write a program in SAS Studio, use tasks and snippets, and call R from SAS. He also walks through importing and reporting data, and creating new variables, functions, and data tables.