Learning R (LinkedIn Learning – Lynda)

Learning R (LinkedIn Learning – Lynda) ranks 3rd in the list of best online R Programming courses. If you want to participate in the data revolution, you need the right tools and skills. R is a free, open-source language for data science that is among the most popular platforms for professional analysts. Learn the basics of R and get started finding insights from your own data, in this course with professor and data scientist Barton Poulson. The lessons explain how to get started with R, including installing R, RStudio, and code packages that extend R’s power.

You also see first-hand how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis. This is an introductory course that will teach you the R programming language. It begins with instructions for installing R, configuring the R environment, and using R Studio. The course then covers how to read data from spreadsheets and SPSS, as well as how to use and manage packages for advanced R functions.

This course is taught by Barton Poulson, a professor, designer, and data analytics expert. He effectively walks you through several examples of how to create charts and plots, test statistical assumptions and data reliability, look for data outliers, and use other data analysis tools. By the end of the course, you’ll have a thorough introduction to the power and flexibility of R, and understand how to leverage this tool to explore and analyze a wide variety of data.

Key Highlights

• Learn to use charts, such as histograms, bar charts, scatter plots, and box plots, to get the big picture of your data
• Learn descriptive statistics such as means, standard deviations, and correlations for a more precise depiction
• Learn inferential statistics like regression, t-tests, the analysis of variance, and the chi-square test to determine the reliability of your results
• Learn to create beautiful presentation charts to share your analysis results
• Several engaging exercises available with data sets which can be downloaded
• View Offline mode allows learners to download courses on mobile devices and watch them on the go without an internet connection

Duration : 2 hours 25 minutes

Rating : 4.6

Enroll here: linkedin.com/learning/learning-r-2