Python Matplotlib for Data Visualization
Learn Matplotlib concepts with hands-on live running coding examples and exercises
Course Outcomes
- Learn about pyplot module
- Interactive visualizations in Matplotlib.
- Create graphs, histograms, bar graphs, etc
Course Structure
21 lectures • 1h 57m total duration
About This Course
Matplotlib is a powerful, open-source visualization library that has become a staple in the Python programming community. Created by John D. Hunter, it stands on the shoulders of NumPy, enabling users to bring their data to life through engaging and interactive visualizations. Whether you're looking to craft simple graphs or complex interactive charts, Matplotlib offers the tools necessary to transform raw data into clear and insightful visuals.
Throughout this course, we'll embark on a journey to master the art of plotting with Python using Matplotlib. You'll discover how to effortlessly generate a variety of charts, including histograms, bar graphs, pie charts, and scatter plots, to name a few. We'll guide you through the process of enhancing your plots with titles, labels, and legends, ensuring your visualizations communicate effectively. Additionally, you'll learn to customize the aesthetic elements of your charts, such as grid lines, background colors, and font sizes, to make your data stand out.
By the end of this course, not only will you be comfortable with the basics of Matplotlib, but you'll also be able to create dynamic figures that can zoom, pan, and update. We've included a series of online quizzes designed to reinforce your learning and hone your skills. With the ability to export your creations in a variety of file formats, you'll be well-equipped to share your work with the world.
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Course Requirements
- Basics of Python
Course Instructor
Amit started his own venture Studyopedia in 2018, to create, publish and sell programming courses to top E-Learning companies/websites, on today's trending technologies, including Python, Data Science...View profile
Includes Certificate of Completion
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What's in the course?
- 16 video lectures
- 5 quiz exams
- GPT-4 level AI assistance
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- 100+ coding courses
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- 24x7 doubt solving with AI
- 100+ projects to practice
- In-depth project feedback
- AWS cloud sandboxes