Analytics
Exploratory Data Analysis
Manipulating String Data in R
Learn how to work on string data in R. Use the best add on packages' and perform sentiment analysis on large texts.
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Course Insight
Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.
Intermediate FriendlySelf-Paced Learning
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Relational Data ManagementCareers:Relevant for professionals pursuing roles within Data Science.
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
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What You’ll Learn
Do you want to learn how to use R to efficiently clean and analyze string data?
In this course, Manipulating String Data in R, you will learn multiple techniques that are crucial for string related work. First, you will learn the multiple functions available that help you in handling string or character data.
Next, you will be shown the best functions from both R Base as well as the stringr add on package. Then,
all common tasks will be demonstrated including: replacing, removing, counting or searching string patterns via regex syntax.
Next, you will understand Regex, are invaluable in defining specific patterns in a string.
Finally, you will see how sentiment analysis is performed in R, and the sentiment lexicons available for fast and efficient sentiment analysis.
When you're finished with this course, you'll have the skills and knowledge of string handling needed to work on all sorts of text based data including books, social media feeds and tweets.
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Outcomes
- Course Overview : 1min.
- Understanding String Data : 32mins.
- Working on Strings with R Base and Regex : 31mins.
- Using the Package stringr : 17mins.
- Using Advanced String Tools and Course Summary : 37mins.
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