Path overview
In this path, you will gain experience in manipulating, comparing, and presenting compelling and actionable data and you’ll discover the best methods for visualizing data using line graphs, histograms, bar charts, scatter plots, and more. You’ll learn how to use R programming and ggplot2 to create meaningful data visualizations. Ggplot2, which is a part of tidyverse, is an R package for data visualization. It’s one of the most versatile and easy-to-use tools for creating elegant graphics using R, and it’s the main focus of this path.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Key skills
- Visualizing changes over time using line graphs
- Using histograms to understand data distributions
- Comparing groups using bar charts and box plots
- Understanding relationships between variables using scatter plots
Path outline
Part 1: Data Visualization with R [1 course]
Introduction to Data Visualization in R 4h
Objectives- Visualize changes over time using line graphs
- Analyze data distributions using histograms
- Compare groups using bar charts and box plots
- Identify the relationships between variables using scatter plots
The Dataquest guarantee
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.
Master skills faster with Dataquest
Go from zero to job-ready
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Share the evidence of your hard work with your network and potential employers.
Projects in this path
Analyzing Forest Fire Data
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.