Transform Your Data with R: Master ggplot2 Visualization

Enhance your skills with this Free Udemy Course on R visualization. Enroll today!

Data visualization is one of the most sought-after skills in the world of data analysis and science. In this comprehensive course, you will learn how to create professional and customized graphics in R using ggplot2, one of the most powerful libraries for data visualization. We will start with the fundamentals of ggplot2, exploring its layered grammar of graphics, geometries, and scales. You’ll learn to import and prepare data in R, ensuring it’s ready for visualization.

As we progress, we will dive into the creation of static, combined, and interactive graphics, customizing colors, labels, and themes along the way. Throughout the course, you’ll work with various types of plots including bar charts, line charts, scatter plots, histograms, heat maps, and animations. Additionally, you’ll learn how to create interactive dashboards using plotly and ggiraph, allowing your visualizations to be dynamic and exploratory. The course culminates with a practical project where you will apply everything learned to analyze and present a real dataset.

If you want to improve how you present data and tell stories with impactful visualizations, this course is for you. Enroll now and elevate your data visualization skills to the next level!

What you will learn:

  • Dominate ggplot2 for creating professional data visualizations in R.
  • Import, clean, and transform data to prepare it properly for graphing.
  • Explore and customize graphs with layers, labels, scales, and themes.

Course Content:

  • Sections: 8
  • Lectures: 37
  • Duration: 4h 27m

Requirements:

  • Basic knowledge of R programming (key concepts are reviewed).
  • Prior installation of R and RStudio on your machine.

Who is it for?

  • Data analysts, data scientists, and professionals looking to enhance their visualization skills.
  • Students and academics using R for analysis who want to present their results more effectively.
  • Professionals in marketing, finance, research, and other disciplines working with data and requiring visualization tools.
  • Anyone interested in learning data visualization with R and ggplot2 from scratch.

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