Data Visualization Fundamentals in Python

Overview

The "Data Visualization Fundamentals in Python" course empowers you to transform data into compelling visual narratives. Dive into the principles and best practices of data visualization, blending the art and science to tell impactful data stories using Python. Through this course, you will master creating basic and advanced data visualizations and learn to effectively communicate complex information visually. You will explore Python libraries such as Matplotlib and Seaborn and understand how to customize visual elements to create clear, insightful, and visually appealing data representations. You will develop skills to apply fundamental principles, incorporate human perception aspects, customize your plots, and create interactive visualizations ensuring an accurate interpretation of data. This course will equip you with techniques for transforming complex datasets into coherent visuals, optimizing your ability to convey data-driven insights effectively.

Syllabus

Introduction to The Art of Data Visualization

This module introduces the goals of the course, and provides an overview of what data visualization is, why does it matter, and reviews historical examples of data visualizations.

Principles of Data Visualization

This module teaches the principles of visualization, what makes visualizations effective, and how different data types can be visualized.

Review of Python Basics

This module introduces basic Python programming within Jupyter notebook environment.

Making Figures with Python: Basic Charts

This module teaches creating and customizing data charts using Python libraries of Matplotlib.

Making Figures with Python: Advanced Plotting

This module teaches advanced charting using Python libraries such as Seaborn and provides a contrast between Seaborn vs Matplotlib libraries for data visualization.