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Matplotlib: Python Data Visualization & Wrangling
Coursera MOOC / Non-credit 0

Matplotlib: Python Data Visualization & Wrangling

About this course

This Specialization equips learners with the skills to transform raw data into compelling, publication-ready visualizations using Python’s Matplotlib library. Starting with core plotting concepts, learners progress to advanced customization, 3D charts, and specialized layouts. Practical case studies, such as e-commerce data visualization, ensure hands-on application of concepts to real-world datasets. By the end, learners will be able to design and refine professional-grade visuals that communicate insights effectively for data science, business analytics, and research.

C

67/100

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What the provider tells you
31/45
Who stands behind it
20/35
How complete the listing is
16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

  • Create basic and advanced plots using Python's Matplotlib library
  • Customize visualizations with professional styling and formatting
  • Build 3D charts and specialized plot layouts
  • Transform raw data into publication-ready visualizations
  • Apply visualization techniques to real-world datasets like e-commerce data

Course objectives

  • Master core plotting concepts in Matplotlib
  • Develop skills in advanced chart customization
  • Design professional-grade visualizations for data science and business analytics
  • Apply visualization techniques through hands-on case studies
Data Analysis #python #business analytics #data visualization #matplotlib #data wrangling #python libraries #data science #visual communication #e-commerce analytics #data exploration #plotting #charts #3d visualization #publication quality graphics
$49.00

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