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Python Matplotlib Crash Course for Data Visualization

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Python Matplotlib Crash Course for Data Visualization

Learn Matplotlib concepts with hands-on live running coding examples and exercises

updated on icon Updated on Jun, 2025

language icon Language - English

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category icon Development ,Data Science,Python

Lectures -17

Duration -1.5 hours

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Course Description

Welcome to the Matplotlib Crash Course by Studyopedia.

Matplotlib is an open-source plotting library developed by John D. Hunter. Create interactive visualisations in Python with Matplotlib. It is built on NumPy and is one of the most popular libraries for data visualisation in Python.

In this course, we will learn how to perform plotting with Python. Visualisations are far better than textual data. Using matplotlib, we can easily create graphs, histograms, bar graphs, etc.

Course features:

The following are the features of Matplotlib:

  • Free and open-source Python library

  • Load and plot the data easily

  • Easily make interactive figures that can zoom, pan, and update.

  • Export to various file formats, such as PNG, PDF, SVG, etc.

  • Use third-party packages built on Matplotlib for plotting, animations, styles, etc.

  • Create graphs easily, set legends, position titles, plot, etc., with Matplotlib.

Who this course is for?

  • Gain a deep understanding of Python and Matplotlib.
  • Python Libraries for Beginners.
  • Get started with Matplotlib.
  • Those who want to learn Matplotlib by doing. This course includes 50+ hands-on exercises.

Course Lessons:

  • Matplotlib - Introduction & Features.
  • Install & Setup Matplotlib.
  • Matplotlib - PyPlot Submodule (Run first Matplotlib program).
  • Matplotlib - Plotting.
  • Matplotlib - Add Grid Lines.
  • Matplotlib - Add Labels to a Plot.
  • Matplotlib - Plot Titles and Position Them.
  • Matplotlib - Add a Legend in a Graph.
  • Matplotlib - Position Legends.
  • Matplotlib - Change the background colour of the Legend.
  • Matplotlib - Change the font size of the Legend.
  • Matplotlib – Bar Graph.
  • Matplotlib – Pie Chart.
  • Matplotlib – Line Graph.
  • Matplotlib – Histogram.
  • Matplotlib – Scatter Plot.

Goals

  • Learn Matplotlib for Data Science and Data Analysis.
  • Create interactive visualisations in Python with Matplotlib.
  • Easily create graphs, histograms, bar graphs, etc.
  • Learn Matplotlib from scratch.
  • Acquire essential Matplotlib skills for numeric and scientific computing.
  • Practice your skills with 50+ exercises.

Prerequisites

  • Python knowledge.

  • Passion to learn Matplotlib.

Python Matplotlib Crash Course for Data Visualization

Curriculum

Check out the detailed breakdown of what’s inside the course

Matplotlib - Introduction & Setup

3 Lectures
  • play icon Course Introdcuction 00:58 00:58
  • play icon Matplotlib Introduction & Features 02:24 02:24
  • play icon Install & setup Matplotlib 11:48 11:48

Matplotlib - Plotting

2 Lectures
Tutorialspoint

Matplotlib - Grid

1 Lectures
Tutorialspoint

Matplotlib - Plot Settings

2 Lectures
Tutorialspoint

Matplotlib - Legends

4 Lectures
Tutorialspoint

Matplotlib Plotting - Data Visualization

5 Lectures
Tutorialspoint

Instructor Details

Studyopedia

Studyopedia

Studyopedia is a platform that focuses on practically learning from the basics. We provide courses, study material, quizzes, and interview questions in varied subjects, including Generative AI, Data Science, Python, Machine Learning, Java, C, C++, SQL, MySQL, MongoDB, JavaScript, CSS, jQuery, etc.

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