Summarizing and visualizing text data is a key skill for professionals looking to uncover meaningful insights from large volumes of information. In this course, you will master the tools and techniques to condense and display text data, making complex patterns easier to interpret.

Starting with the tidytext package in R, you will tokenize unstructured text data and convert it into structured data for analysis. You will then summarize word distributions within individual documents and bring them to life with visualizations like word clouds. As you progress, you will explore advanced techniques for summarizing and comparing text across multiple documents, using tools such as document-feature matrices.

By the end of the course, you will have the skills to compare word usage across texts and track how language patterns evolve over time, helping you reveal deeper trends in your data.