
Python Matplotlib Certification
Amit Diwan
Learn Matplotlib concepts with hands-on live running coding examples and exercises
Add to basket or enquire
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
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
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
- Matplotlib – Introduction
- Install Matplotlib on Windows
- 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 color 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
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
Currently there are no Q&As for this course. Be the first to ask a question.
Reviews
Currently there are no reviews for this course. Be the first to leave a review.
Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.