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This course is designed for the Yale University Computational Biology & Bioinformatics (CBB) program's Jamboree. It provides a quick introduction to basic R commands while assuming familiarity with programming concepts. The majority of the course focuses on tidy data analysis using tidyr/dplyr and visualization using ggplot2
Intro to basicsFree
In this chapter, based on DataCamp's Intro To R course, you will take your first steps with R. You will learn how to use the console as a calculator and how to assign variables. You will also get to know the basic data types in R. Let's get started!
Data the Tidy WayFree
In this chapter, you will learn some of the fundamentals of taking raw data and cleaning it to form tidy data, the fundamental currency of data science and visualization tools such as ggplot2.
From tidy data comes great visualization - learn how to visualize your data using the grammer of graphics.Introduction to ggplot20 xpThe grammar of ggplot20 xpExploring ggplot20 xpAdding New Aesthetics0 xpRefining our Aesthetics Layer by Layer0 xpAdding Additional Geometries0 xpWhen Layering, Order Matters0 xpA Spoonful of Color Makes the Plot Rock0 xpTheming our Plots0 xpThe Tools for Beautiful Plots0 xp
Application to Expression DataFree
In this chapter, you will combine what you learned in the first three chapters to read in, tidy, and visualize gene expression data. Let's get started!
Bioinformatics PhD Candidate at Yale University passionate about data science and data visualization in HealthTech and EdTech
PhD Candidate at Yale University Dept. of Immunobiology, with a fondness for (epi)genomics, cooking, dogs, biking, and Rocket League.
What do other learners have to say?
I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.
Devon Edwards Joseph
Lloyds Banking Group
DataCamp is the top resource I recommend for learning data science.
Harvard Business School
DataCamp is by far my favorite website to learn from.
Decision Science Analytics, USAA