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Live Online & Classroom Enterprise Training
Build a foundation in R and learn how to wrangle, analyse, and visualize data.
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This course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you'll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about crime differences across the states.
We'll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You'll learn how to apply general programming features like "if-else" and "for loop" commands and how to wrangle, analyse and visualise data.
Rather than covering every R skill you might need, you'll build a solid foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualisation with ggplot2, file organisation with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
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Live Online Training
8 HoursSelf-Paced Training
8 HoursThe trainer for this Data Science: R Basics Training has extensive experience in this domain, including years of experience training & mentoring professionals.
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