![]() R can be run entirely by typing commands into a text interface (welcome to the Matrix!). If you already know your way around statistical softwares like Minitab or SPSS, the main difference is that R has no graphical user interface, which means there are no buttons to click and no dropdown menus. With a huge online support community and dedicated packages that provide extra functionality for virtually any application and field of study, there’s hardly anything you can’t do in R. (Next time you need a fun fact, you can say “Did you know that S came before R?”) R is also the name of the software that uses this language for statistical computing. It was developed by Ross Ihaka and Robert Gentleman as an open source implementation of the “S” programming language. R is a statistical programming language that has rapidly gained popularity in many scientific fields. In our first tutorial we will begin to explore “R” as a tool to analyse and visualise data. Learn to manipulate R objects like vectors and data frames.Develop the good habit of working with scripts.Deep Learning with R by François Chollet & J.J.An Introduction to Statistical Learning: with Applications in R by Gareth James et al.Hands-On Programming with R: Write Your Own Functions And Simulations by Garrett Grolemund & Hadley Wickham.Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce & Andrew Bruce.Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurelien Géron.R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham & Garrett Grolemund.Inter-Rater Reliability Essentials: Practical Guide in R by A.Practical Statistics in R for Comparing Groups: Numerical Variables by A.Network Analysis and Visualization in R by A.GGPlot2 Essentials for Great Data Visualization in R by A.R Graphics Essentials for Great Data Visualization by A.Machine Learning Essentials: Practical Guide in R by A.Practical Guide To Principal Component Methods in R by A.Practical Guide to Cluster Analysis in R by A.Psychological First Aid by Johns Hopkins University.Excel Skills for Business by Macquarie University.Introduction to Psychology by Yale University.Business Foundations by University of Pennsylvania.IBM Data Science Professional Certificate by IBM.Python for Everybody by University of Michigan.Google IT Support Professional by Google.The Science of Well-Being by Yale University.AWS Fundamentals by Amazon Web Services.Epidemiology in Public Health Practice by Johns Hopkins University.Google IT Automation with Python by Google. ![]()
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