The Complete Python Data Visualization Course
Master the major plotting libraries as you learn how to create beautiful plots.
This title is part of the Data Science Mini-Degree
Plotting is a fundamental aspect of data science – it allows you to visually communicate your findings and insights.
This course will teach you everything that you need to know about plotting with Python, using three of the major plotting libraries: Matplotlib, Seaborn, and Bokeh. All of these libraries provide sleek APIs that consume your data, before presenting a plot that’s completely customizable. You will learn how to display beautiful charts and plots in each of these libraries, as well as the different advantages each library has in displaying different types of data. The development environment installation using Anaconda is covered in this course.
Types of plots covered in this course include:
- Column charts
- Pie charts
- Line and Multi-Line charts
- Scatter Plots
- Joint Plots
About the Python Mini-Degree
The Python Mini-Degree is a bundle of 13 online video courses, that go all the way from teaching you how to code in Python while making a game, to building your own Artificial Intelligence (AI) and Internet of Things (IoT) applications using Computer Vision, Machine Learning and Deep Learning.
Learn more and enroll HERE.
- Basic to intermediate Python skills
- It is recommended that you take this course as part of the Python Mini-Degree, which includes 12 courses on Python, Computer Vision, Machine Learning, Deep Learning and much more