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Exploratory Data Analysis with Textual Data in R / Quanteda

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In this 1-hour long project-based course, you will learn how to explore presidential concession speeches by US presidential candidates over time, looking specifically at speech length and top words and examining variation by Democrat and Republican candidates. You will learn how to import textual data stored in raw text files, turn these files into a corpus (a collection of textual documents) and tokenize the text all using the software package quanteda. You will also learn how to extract useful information from filenames and how to use this information to generate visualizations of textual data using the stringr and ggplot2 packages. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Embark on a fascinating journey into the world of data science with the "Exploratory Data Analysis with Textual Data in R / Quanteda" course designed by Coursera. This beginner-level, project-based course is tailored to provide a hands-on experience in exploring and analyzing textual data using the R programming language, specifically with the Quanteda package. Over the span of 1 hour, you will delve into the historical presidential concession speeches in the US, investigating aspects such as speech length, prominent words, and variations between Democrat and Republican candidates. Perfect for those new to data science, this course offers a concise yet comprehensive introduction to textual data analysis, all available for free. Whether you're a student, professional, or enthusiast looking to expand your data science skills, this engaging and informative course is an excellent starting point.