SKILL PATH

DATA VISUALIZATION WITH R

Data visualization is an important skill for data professionals, and R offers some great tools for creating different kinds of visuals. There are two important types of visualization to learn: 

  • Exploratory Data Visualization — the first step in analysis workflow for many projects, this makes it easier to understand patterns in your data.
  • Explanatory Data Visualization — you can use data from your analysis to share easy-to-understand insights
DURATION
5 hours
LESSONS
4
PROJECTS
1
DIFFICULTY
Intermediate

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SKILL PATH: DATA VISUALIZATION WITH R

Here's what you'll learn to do.

Even if you’ve never written a line of code in R, you’ll catch on quickly, and we’ll have you writing code in minutes.

  • How to visualize changes over time using line graphs
  • Using histograms to understand data distribution
  • Comparing groups using bar charts and box plots
  • Understanding relationships between variables using scatter plots


Course Structure: Data Visualization with R


Learn how to visualize changes over time using line graphs, use histograms to understand data distributions, and compare groups using bar charts and box plots. Learn to understand relationships between variables using scatter plots.


It's not just what you learn,
but how you learn it.

Retain

Learn by writing and validating code,
not by watching videos.

Reinforce

Challenge yourself with dozens of
practice problems.

Reference

Revisit what you've learned anytime you need a refresher.

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It’s great! So many options; R, SQL, Python. And they take you on guided projects where you understand the reasoning behind the code and are able to apply it to future projects.

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If you want to get into a career in data, choose DQ. The education they offer would stretch you and prepare you for real life work.

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Start learning Data Visualization with R today!

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