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Data Science & ML track

Visualization

matplotlib, seaborn, plotly and exploratory visual storytelling.

6 concepts3 labs1 challenges
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Concepts

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Work through the concepts in order, or jump to what you need.

1

Visualization Principles

Concept · Hands-on lab included

2

Matplotlib Basics

Concept · Hands-on lab included

3

Seaborn Statistical Plots

Concept · Hands-on lab included

4

Plotting Best Practices

Concept · Hands-on lab included

5

Interactive Visualizations

Concept · Hands-on lab included

6

Telling Stories with Data

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

Browse all labs

Matplotlib from Blank to Dashboard-Ready

30 min · beginner · Matplotlib Basics

Statistical Plots in Minutes

25 min · intermediate · Seaborn Statistical Plots

From Static to Interactive in Minutes

25 min · intermediate · Interactive Visualizations

Continue

Next modules

Keep your learning streak going with related modules.

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Mathematics

Linear algebra, calculus and notation needed for machine learning.

0%

Statistics

Distributions, estimators, hypothesis testing and statistical inference.

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Python

Scientific Python stack: environments, typing, numpy-style thinking.

DevOpsForge - Data Science & ML · Visualization
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