Going from Beginner to Advanced in ggplot2

Explain what aesthetic mappings areExplain the inheritance of aesthetic mappingsCreate any plot in ggplot2 on your ownSolve common problems in creating plots in ggplot2Dodge bar charts and be able to explain how it can be doneExplain the aesthetics of geom_pointOrder bar chartsUse scales to adjust the mapping between aesthetics and variablesUse facets to create multiple plots at onceUse summary statistics to do calculations on your data on they fly with ggplot2 (e.g. error bars, means, confidence intervals)Make your plot look beautiful with custom themesUse annotations to spice up your plotsAdd mathematical notations to your plotCombine multiple plots with patchworkAdding significance bars to barplotsAdding regression lines to scatterplotsExport plots to high qualityUse various apps from ggplot2tor to work with scales, theme and aesthetics in ggplot2Show moreShow lessMy goal with this course is for you to learn ggplot2 from the ground up. ggplot2 has a huge community and endless resources, but here’s why I think this course might be for you:Creating data visualizations in ggplot2 is tough for beginners. You need to know about data types, geometric objects, aesthetics, aesthetic mappings, dozens of functions, faceting, scales, themes and much more. You’ll find many resources on the internet that teach you this content. Finding these resources takes time, and often they don’t teach the fundamentals you need to know to become an independent data visualization specialist in ggplot2. This course will get you up to speed with ggplot2. While creating this course I not only created the videos, but also a comprehensive package of educational materials. Here is what you will get from this course:More than 12 hours of videos8 brand-new cheat sheets on the most fundamental concepts of ggplot2 which you won’t find anywhere else on the internet3 educational web apps on three of the most fundamentals problems: findings aesthetics of geometric objects, finding scales, and designing your themeA repository with all the R-code for the courseIn this course we will start with the most important concept of ggplot2, aesthetic mappings. We will then learn how to create the most basic plots. Once you are able to create these plots, we will discuss common pitfalls that beginners to ggplot2 often run into. In the next modules, you will learn how to customize aesthetic mappings with scales, how to create multiple plots by faceting, how to calculate summary statistics, and how to change the theme of your plots. Finally, you will get to know tips and tricks that everyone learning ggplot2 should know. Along the way, we will also create four best practice visualizations that cover all of the fundamental concepts we learn in this course. I am confident that you won’t find similar material anywhere else on the internet and that you will truly understand ggplot2 from the ground up if you take this course. Disclaimer: We will cover version 3.3.4 of ggplot2.Who this course is for:Any person who wants to learn ggplot2 from the ground upData scientist interested in learning how to create visualizations in ggplot2 fast and effectivelyData journalists who want to create print-ready visualizationsStudents interested in creating visualizations for their thesesScientists and researchers whose daily bread is to plot data