Published January 29, 2025 | Version v2025.01.29
Project deliverable Open

Data Visualization for Storytelling and Statistical Inference

Description

The main goal of this lesson is to demonstrate the importance of data visualization and how it can unlock a variety of learning and research pathways—ranging from exploratory data analysis and statistical inference to understanding machine learning processes and data storytelling.

If you're looking for ways to approximately predict specific values based on a given dataset for data storytelling, or if you've ever wondered how machine learning models that predict values (rather than categories) work, this lesson is for you. It will introduce you to the concept of statistical inference—a mathematical calculation used in predictive machine learning algorithms—through various data visualization techniques. These visualization methods will also enhance your data storytelling skills, not only in describing existing data but also in predicting values based on the available data.

Data visualization is central to this lesson, serving as both the means and the goal. You’ll not only learn to write Python code and engage in hands-on data visualization, but also discover how to explore, understand, and predict dataset values through visualization techniques.

Notes

Please cite this lesson using the information in this file when you refer to it in publications, and/or if you re-use, adapt, or expand on the content in your own training material.

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