COURSE

Exploratory Data Visualization

Learn exploratory data visualization by creating and interpreting data graphics. This course is taught using matplotlib and pandas.

This course will teach you the basics of data visualization in python using matplotlib and pandas. Includes line charts, bar plots, scatter plots, histograms and box plots.

By the end of this course, you'll be able to:

  • Use data visualization to explore data.
  • Determine how and when to use the most common plots.
exploratory-data-visualization

Course Info:

Exploratory Data Visualization

Beginner

The average completion time for this course is 10-hours.

This course is requires a basic subscription and includes 4 missions and 1 guided project.  It is the 4th course in the Data Analyst in Python path and Data Scientist in Python path.

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Learn to use R for Data Visualization

Line Charts

Learn the basics of data visualization.

Multiple Plots

Learn how matplotlib represents plots to work with multiple plots.

Bar Plots and Scatter Plots

Learn how to visualize un-ordered data bar plots and scatter plots.

Histograms and Box Plots

Learn about hash tables, a versatile data structure with fast lookup and insertion times.

Visualize Earnings Based on College Majors

Learn how to use pandas to quickly create visualizations.