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Python Matplotlib Certification
Amit Diwan

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

Summary

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

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AI Overview

AI generated content may contain mistakes

This Matplotlib Certification course is designed to provide learners with a comprehensive understanding of the Python Matplotlib library for data visualization. Students will gain essential skills in creating interactive and informative visualizations, including graphs, histograms, bar charts, pie charts, and scatter plots.

The course is best suited for Python beginners, data scientists, and data analysts who want to enhance their data visualization capabilities. Through 50+ hands-on exercises, participants will learn how to load and plot data, add grid lines, labels, titles, and legends to their visualizations, and customize the appearance to effectively communicate insights.

Key features of the course include: - Comprehensive coverage of Matplotlib's core functionalities - Ability to export visualizations in various file formats (PNG, PDF, SVG) - Opportunity to leverage third-party packages built on Matplotlib for advanced plotting and animations - Flexible, self-paced online delivery, allowing learners to study around their work and life commitments

This skills-based course does not lead to a specific qualification but is designed to provide learners with practical Matplotlib skills that are highly valuable in data-driven fields. The course does not include a job guarantee.

Overview

Welcome to the Matplotlib Crash Course!

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
  • 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
17
lectures
1h 48m
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 on Windows
  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

Hit the Enroll Button!

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

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