BiteSize Python: Data Visualization
This course focuses on data visualization, an essential skill for effectively communicating insights derived from data. It introduces three widely used Python packages: Matplotlib, Seaborn, and Plotly, each known for its unique capabilities in data visualization. The course covers the basics of these libraries and demonstrates how to create a variety of visualizations, from simple plots to complex interactive graphics. Through hands-on practice and case studies, students will learn how to choose the right visualization for their data, customize their plots, and create compelling visuals that convey meaningful insights. Optional case studies will allow students to deepen their understanding by applying these tools in real-world scenarios.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Apache Pulsar vs Kafka for Data Engineering: Geo-Replication, Tiered Storage & Functions
Dev.to · Gowtham Potureddi
Kafka Connect Deep Dive: Source, Sink, SMTs, Schema Registry & Idempotent Writes
Dev.to · Gowtham Potureddi
A free, keyless API for dynasty fantasy football values — built from 672k real trades
Dev.to · Elliot Pollaro
Demystifying Profitability: How Gross, Operating, and Net Margins Differ
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI