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Working with Python Visualization Tools

A deep dive into the visualization tools and libraries available in Python.
Difficulty: Intermediate
Duration: Up to 6 hours and 28 minutes
Students: 1,208
Rating: 5/5
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Content overview
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Content overview

6 steps
There are 3 Courses in this learning path
There are 2 Hands-on Labs in this learning path
There is 1 Exam in this learning path
Difficulty: Advanced. Duration: 49m 3s.
COURSE
Advanced
Duration: 49 minutes and 3 seconds
Python Visualization Tools
In this Lesson, we cover Python Visualization Libraries and Tools, focusing particularly on Marplot and the Seaborn plotting library.
Difficulty: Intermediate. Duration: 1h 21m.
COURSE
Intermediate
Duration: 1 hour and 21 minutes
Data Visualization with Python using Matplotlib
This lesson will guide you through all the possible techniques that are used to visualize data using the Matplotlib Python library.
Difficulty: Beginner. Duration: Up to 1h.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour
Introduction to Financial Data Manipulation with Python
The goal of this lab is to consolidate your data management and manipulation skills using Python.
Difficulty: Intermediate. Duration: 1h 33m.
COURSE
Intermediate
Duration: 1 hour and 33 minutes
Interactive Data Visualization with Python using Bokeh
This lesson looks at the fundamental tools that are necessary to build interactive plots in Python using Bokeh.
Difficulty: Beginner. Duration: Up to 1h.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour
Data Visualization with Bokeh
In this lab, you will master Bokeh to perform data visualization with Python.
Duration: Up to 45m.
EXAM
Duration: Up to 45 minutes
Final Exam: Working with Python Visualization Tools
Final Exam: Working with Python Visualization Tools