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Python Matplotlib Crash Course

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


Amit Diwan

Summary

Price
£12 inc VAT
Study method
Online, On Demand What's this?
Duration
1.9 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of Completion - Free
  • Reed Courses Certificate of Completion - Free

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Overview

Welcome to the Matplotlib Crash Course (2024)!

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

What you'll learn

  • Learn Matplotlib for Data Science and Data Analysis (2024)
  • Create interactive visualizations in Python with Matplotlib.
  • Easily create graphs, histograms, bar graphs, etc.
  • Learn Matplotlib from scratch
  • Acquire essential Matplotlib skills for numeric and scientific computing

Certificates

Certificate of Completion

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Curriculum

6
sections
22
lectures
1h 55m
total

Course media

Description

In this tutorial, we will learn how to perform plotting with Python Matplotlib. Visualizations are far better than textual data. Using matplotlib, we can easily create graphs, histograms, bar graphs, etc. The course is useful for Data Scientists and Analysts.

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, 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

Course Lessons

  1. Matplotlib – Introduction
  2. Install & Matplotlib
  3. Matplotlib - PyPlot Submodule (Run first Matplotlib program)
  4. Matplotlib - Plotting
  5. Matplotlib - Add Grid Lines
  6. Matplotlib - Add Labels to a Plot
  7. Matplotlib - Plot Titles and Position them
  8. Matplotlib - Add a Legend in a Graph
  9. Matplotlib - Position Legends
  10. Matplotlib - Change the background color of the Legend
  11. Matplotlib - Change the font size of the Legend
  12. Matplotlib – Bar Graph
  13. Matplotlib – Pie Chart
  14. Matplotlib – Line Graph
  15. Matplotlib – Histogram
  16. Matplotlib – Scatter Plot

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Who is this course for?

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

Requirements

  • A computer with an Internet
  • Python knowledge
  • Passion to learn Matplotlib

Career path

The Average Data Scientist's salary in the UK is £73,411

The Average Data Analyst salary in the UK is £41,449

Questions and answers

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FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.