Python Matplotlib Certification
Amit Diwan
Learn Matplotlib concepts with hands-on live running coding examples and exercises
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AI summary
Unlock the power of data visualization with this comprehensive Matplotlib Crash Course. Dive into the world of interactive Python plotting and master the essential skills for data science and analysis.
- Create interactive visualizations in Python using Matplotlib
- Easily generate graphs, histograms, bar charts, and more
- Gain a deep understanding of Matplotlib from scratch
- Acquire essential data visualization skills for numeric and scientific computing
- Python beginners and data visualization enthusiasts
- Data scientists and analysts looking to enhance their skills
- Those seeking to build practical knowledge in Matplotlib
- Online via Reed Courses Learning On Demand with immediate start
- Suitable for learners wanting flexibility
- Skills-based course designed to build practical knowledge in Matplotlib
- Develop data visualization expertise to enhance your data science and analysis capabilities
AI generated summary, may contain mistakes. Full details in course description.
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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
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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
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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.