learning path

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: 1,224

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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