Skip to content

Python Data Visualization with matplotlib & seaborn

The anatomy of a matplotlib figure, statistical charts with seaborn, and interactive charts with plotly.

Level
Beginner
Lessons
3
Total time
48 min
Simulations
1
Included in Data Analytics: Statistics & Data Visualization · $9
Tools you'll use
  • Python
  • pandas
  • NumPy
Skills
  • matplotlib
  • seaborn
  • plotly

What you will be able to do

  • Control every element of a matplotlib figure
  • Make statistical charts with seaborn in one line

Before you start

A suggestion, never a lock — you can start here.

  • choosing-the-right-chart
Modules that help first

Syllabus

3 lessons · 48 min

Every lesson's title and summary is public. The lessons themselves open once you own the track.

Every lesson in Data Analytics: Statistics & Data Visualization
  1. The Anatomy of a matplotlib Figure

    17 min

    A Figure holds Axes, an Axes holds Artists — once you hold the objects, every element of a chart is controllable, and a three-panel figure stops being scary.

    Included with the track
  2. Statistical Plots with seaborn

    17 min

    Distributions, group comparisons and facets in one line from a DataFrame — as long as the data is in long format and you know which chart hides what.

    Included with the track Simulation
  3. Interactive Charts with plotly

    14 min

    Hover, zoom and filters turn a chart from an answer into a tool for asking — useful for exploration and for sharing, and harmful on a projector.

    Included with the track
Lifetime access
$9
Buy the track
More in Data Analytics: Statistics & Data Visualization
Module · Beginner

Correlation

What r measures, what it does not, and when it lies.

  • 1 lesson
  • 14 min
  • 2 simulations
Free module
Module · Beginner

Bayesian

How to invert a probability, and why a 99%-accurate test can be wrong nine times in ten.

  • 1 lesson
  • 18 min
  • 1 simulation
Included in Data Analytics: Statistics & Data Visualization· $9
Module · Beginner

Sampling & Hypothesis Testing

Why sample means behave so predictably, what a p-value really means, and how much data you need.

  • 3 lessons
  • 58 min
  • 5 simulations
Included in Data Analytics: Statistics & Data Visualization· $9
Module · Intermediate

A/B Testing

Designing, running and reading product experiments — including the mistakes that make the results meaningless.

  • 4 lessons
  • 1h 3m
  • 4 simulations
Included in Data Analytics: Statistics & Data Visualization· $9