Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.15 GB | Duration: 9h 58m
Learn how to use R & machine learning to create data structures and perform extensive statistical data analysis.
What you’ll learn
Introduction to R & R console
Building Blocks in R language
Install and Load Packages with R studio
Understanding R variables
Different data types in R
Requirements
A PC or Mac
Internet Access
Description
R language is a high-level functional language and one of the must-know tools for data science and statistics. This solution-based course will be your guide, taking you through different programming aspects with R. You’ll start by understanding how to set up R and R Studio, followed by exploring R packages, functions, data structures, control flow, and loops.
Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. This course focused on R and the R ecosystem, introduces you to the tools for working with data. It is the solution – an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you’ll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You’ll get to grips with R’s data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset.
Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. You’ll learn how to build statistical and advanced plots using the powerful ggplot2 library. Advance quickly to a deeper understanding of R’s behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents.
At the end of the course, you’ll be a confident R programmer adept at solving problems with the right techniques.
Who this course is for
Programmers
Data Scientists
Anyone interested in R & Machine Learning
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