October 2017
Beginner to intermediate
2h 56m
English
Closed Captioning available in English
Overview
In this 2 hr course, you will learn practical techniques for creating compelling data visualizations using Matplotlib in Python. Starting with basic plots, this course equips you with the knowledge to build advanced, insightful figures. You'll explore a step-by-step approach to various visualization types including line, scatter, bar plots, and histograms, enhancing your Python programming repertoire.
What I will be able to do after this course
- Master the basics of Matplotlib to visualize data effectively in Python.
- Learn to create a variety of plot types like line plots, scatter plots, histograms, and more.
- Understand plot scaffolding including axes, figures, and customizations.
- Apply advanced features such as transformations and backends for flexible visualizations.
- Utilize Pandas and Jupyter environments to manipulate data and enhance visualization.
Course Instructor(s)
Benjamin Walter Keller, your course instructor, is an experienced Python developer and data visualization expert. Alongside his programming expertise, Benjamin has a passion for teaching and helping others to unlock Python's capabilities for effective data insights. His courses are renowned for blending theoretical overviews with practical, hands-on exercises, ensuring learners gain both knowledge and applicable skills.
Who is it for?
This course is ideal for Python developers and data enthusiasts who have a basic understanding of Python and are looking to utilize Matplotlib for professional-grade data visualization. If your goal is to expand your data presentation skills and integrate visualization into your projects, this course provides the structured guidance you need.
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