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Even if you don’t work with software, you’ve probably heard of the programming language “R” at some point. If not, now you’ve officially heard of the programming language R! There’s no other way to put it: R is like, so hot right now.
This extremely popular language helps data analysts solve complex problems in a simple yet efficient way. R is used to model linear and nonlinear data, perform statistical tests, and produce plots, among other tasks.
If you’re looking to land an awesome job as a data analyst or scientist, then learning R is a helpful skill that could help you stand out. You can start learning it today with this introductory course to the programming language. If you bought these courses anywhere else, you’d probably pay over $600, but you can enroll now and get all eight classes for just $19.
Here’s what you’ll learn:
Introduction to R Programming
This extensive course will give you a good taste of what R is about so you can start making statistical inferences and solving fundamental data problems. There are fifty lectures included that talk all about variables, vectors, arrays, loops, and matrices, as well as statistical fundamentals like p-values, confidence intervals, and univariate analysis.
Learning R for Data Visualization
Once you have your R sea legs, this next course will show you how to take all that data you’ve mined and analyzed and use R’s graphics to present it compellingly. That’s right: R can import data from formats like Excel and turn it into histograms, scatterplots, and more, so you won’t have to explain all the mathematical details when you show your findings.
R Graph Essentials
R is particularly useful for massive datasets, like the kind big companies with lots of users handle. To work for one of these companies, you’ll need to learn how to use R’s base graphics package to create informational graphs. Drawing various types of graphs can be time-consuming, so this 41-lecture course will walk you through the most efficient ways of doing so.
Building Interactive Graphs with ggplot2 and Shiny
You may think you can just do all of this in Excel, but think again. R doesn’t only allow you to create graphs and charts; it can even build interactive graphs with its popular ggplot2 and Shiny packages. This course is perfect for even someone who has a good grasp of R, as you’ll learn how to customize your graphs and make interactive web pages with your data.
Learning Data with R Mining
If you want to work in data analysis, you don’t just need to understand data and be able to visualize it. You also have to know how to mine vast swaths of information from large databases. This course will teach you the mathematical basics of data mining and algorithms so you can use R to solve real-world problems.
In addition to the above courses, this bundle will also give you access to three e-books:
R: Data Analysis and Visualization
This first book will walk you through all of R’s applications to data analysis. It’ll collect many of the concepts the courses explore and combine them into one 1,738-page narrative so you can have a complete understanding of how R helps data analysts.
R: Unleash Machine Learning Techniques
This 1,123-page book delves deeper into R and covers machine learning, a cutting-edge technological frontier. If you want to learn how to write code and build complete machine learning systems from the ground up, this book is an essential reference.
Data Visualization: Representing Information on Modern Web
Make sure to grab The Complete Introduction to R Programming Bundle for $19 while it’s still on sale.