In data science, it’s not enough to be able to analyze data. You must also be able to create compelling visualizations to share your insights and help people understand your findings.
In this course, you’ll learn the ggplot2 package, a powerful data visualization library for R. You’ll also learn how to add and work with multiple plots in your code to show different visualizations. By the end of this course, you’ll be able to create visualizations such as line charts, bar plots, scatter plots, histograms, and box plots to help others understand your data.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. At the end of the course, we’ll conclude with a guided data science project that uses real-world data about forest fires in Portugal.
For this project, we’ll step into the role of data analysts to explore a dataset on forest fires. Using R and data visualization techniques, we’ll analyze trends and factors related to fire occurrence and severity.
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Share the evidence of your hard work with your network and potential employers.
