Basics of Data Visualization Analysis
By External Provider
About this course
This course gives you a complete, practical toolkit for visualizing and analyzing data across more than 20 chart types. You'll identify which graph suits any dataset, configure it correctly, and present findings clearly to both specialist and non-specialist audiences. This course covers the full visualization landscape: core data types and chart elements, distributional techniques including histograms, density plots, strip plots, box plots, and violin plots, categorical methods including bar graphs, pie charts, and radar plots, relationship plots including scatter plots, lines of best fit, and line plots, and multi-dimensional graphics including bubble plots, matrix scatter plots, and contour plots. Whether you're new to data visualization or looking to sharpen your analytical eye, you'll finish with a structured framework for choosing the right chart every time. No prior visualization experience is required. If you've ever looked at a dataset and wondered how to make it communicate, this course gives you the tools to do exactly that.
What you will learn
- Select and configure the right chart type for any continuous or discrete dataset.
- Analyze data distributions using histograms, density plots, box plots, and violin plots.
- Identify and visualize data relationships with scatter plots, lines of best fit, line plots, and bubble plots.