Python for Data Visualization

Offered By: LinkedIn Learning

Tags

Python Courses Programming Courses Data Analysis Courses Data Visualization Courses Matplotlib Courses pandas Courses Jupyter Notebooks Courses

Course Description

Overview

Build accurate, engaging, and easy-to-generate data visualizations using the popular programming language Python.

Syllabus

Introduction

Effectively present data with Python
Before you start
Using the exercise files

1. Data Visualization Overview

Value of data visualization
Leverage programming languages
Overview of Jupyter Notebooks

2. Leverage pandas for Analysis

Introduction to pandas
Create sample data
Load sample data
Basic operations
Simplify with slicing
Filter and clean data
Rename and delete columns
Aggregate functions
Identify missing data
Remove or fill in missing data
Convert pandas DataFrames
Export pandas DataFrames

3. Simplify Visualization with Matplotlib

Basics of Matplotlib
Set marker type and colors
MATLAB-style vs. object syntax
Set titles, labels, and limits
Add grids
Create legends
Save plots to files
Create plots with Matplotlib wrappers

4. Customize Visualizations with Matplotlib

Create heatmaps
Create histograms
Create subplots

Conclusion

Next steps

Taught by

Michael Galarnyk and Madecraft

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