We may earn an affiliate commission when you visit our partners.
Martin Burger
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....
Read more
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....
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/dlhfw4/manipulating
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ideal for skilled programmers and data scientist looking to upgrade their knowledge of R
Taught by recognized instructor who is known for their expertise in R
Covers highly relevant topics in string handling, text analysis, and sentiment analysis
Provides hands-on labs and interactive materials, making learning practical
Requires prior knowledge in programming and R, which may be a barrier for some
Save this course
Save Manipulating String Data in R to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Manipulating String Data in R.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Manipulating String Data in R will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their knowledge of statistics, mathematics, and programming languages to analyze data and extract insights from it. This course, Manipulating String Data in R, is highly relevant to this role because it teaches the techniques needed to clean and analyze string data, which is a common task for Data Analysts. The course covers various functions and packages for string manipulation, including regular expressions (Regex), which are essential for working with text data. By taking this course, learners can develop the skills and knowledge needed to succeed as a Data Analyst.
Data Scientist
Data Scientist
Data Scientists use their expertise in data analysis, machine learning, and statistical modeling to solve business problems. This course, Manipulating String Data in R, can be useful for aspiring Data Scientists as it provides a foundation in working with string data, which is often encountered in real-world datasets. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Data Scientists who want to build and deploy effective machine learning models.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning systems. This course, Manipulating String Data in R, can be helpful for Machine Learning Engineers as it teaches the techniques needed to work with string data, which is often used in machine learning models. The course covers various functions and packages for string manipulation, including regular expressions (Regex), which are essential for feature engineering and data preprocessing tasks. By taking this course, learners can develop the skills needed to build and deploy robust machine learning models.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course, Manipulating String Data in R, can be useful for Software Engineers who work with text-based data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Software Engineers who want to build and deploy applications that can handle and process text data.
Business Analyst
Business Analyst
Business Analysts use their knowledge of business processes and data analysis to identify and solve business problems. This course, Manipulating String Data in R, can be useful for Business Analysts who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Business Analysts who want to analyze and interpret text-based data to make informed business decisions.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course, Manipulating String Data in R, can be helpful for Data Engineers who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Data Engineers who want to build and deploy data pipelines that can handle and process text data.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites and web applications. This course, Manipulating String Data in R, can be useful for Web Developers who work with text-based data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Web Developers who want to build and deploy websites and web applications that can handle and process text data.
Statistician
Statistician
Statisticians use their knowledge of statistics and mathematics to collect, analyze, and interpret data. This course, Manipulating String Data in R, can be useful for Statisticians who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Statisticians who want to analyze and interpret text-based data to make informed decisions.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation, such as user manuals, white papers, and training materials. This course, Manipulating String Data in R, can be useful for Technical Writers who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Technical Writers who want to create and maintain clear and concise technical documentation.
Marketing Analyst
Marketing Analyst
Marketing Analysts use their knowledge of marketing and data analysis to identify and solve marketing problems. This course, Manipulating String Data in R, can be useful for Marketing Analysts who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Marketing Analysts who want to analyze and interpret text-based data to make informed marketing decisions.
Product Manager
Product Manager
Product Managers define, build, and manage products. This course, Manipulating String Data in R, can be useful for Product Managers who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Product Managers who want to build and manage products that meet the needs of users.
UX Designer
UX Designer
UX Designers design and evaluate the user experience of products and services. This course, Manipulating String Data in R, can be useful for UX Designers who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for UX Designers who want to analyze and interpret user feedback to improve the user experience.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics, statistics, and computer programming to analyze financial data. This course, Manipulating String Data in R, can be useful for Quantitative Analysts who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills are essential for Quantitative Analysts who want to analyze and interpret financial data to make informed investment decisions.
Actuary
Actuary
Actuaries use their knowledge of mathematics, statistics, and probability to assess financial risks. This course, Manipulating String Data in R, may be useful for Actuaries who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills may be useful for Actuaries who want to analyze and interpret financial data to assess risks.
Consultant
Consultant
Consultants provide advice and expertise to organizations on a variety of topics. This course, Manipulating String Data in R, may be useful for Consultants who work with string data. The course covers techniques for cleaning, transforming, and extracting insights from string data, using both R Base functions and the stringr package. These skills may be useful for Consultants who want to analyze and interpret data to make recommendations to clients.
For more career information including salaries, visit:
OpenCourser.com/course/dlhfw4/manipulating
Reading list
We haven't picked any books for this reading list yet.
Save
Provides a comprehensive overview of string manipulation in JavaScript, covering topics such as string representation, searching, and sorting. It great resource for JavaScript developers who want to learn more about string manipulation.
Provides a comprehensive overview of string manipulation in C#, covering topics such as string representation, searching, and sorting. It great resource for C# developers who want to learn more about string manipulation.
Provides a comprehensive overview of string manipulation in Ruby, covering topics such as string representation, searching, and sorting. It great resource for Ruby developers who want to learn more about string manipulation.
Provides a comprehensive overview of string manipulation in Go, covering topics such as string representation, searching, and sorting. It great resource for Go developers who want to learn more about string manipulation.
Save
Provides a comprehensive overview of string manipulation in Swift, covering topics such as string representation, searching, and sorting. It great resource for Swift developers who want to learn more about string manipulation.
Save
Provides a comprehensive overview of string manipulation in Scala, covering topics such as string representation, searching, and sorting. It great resource for Scala developers who want to learn more about string manipulation.
Provides a comprehensive overview of string manipulation in Haskell, covering topics such as string representation, searching, and sorting. It great resource for Haskell developers who want to learn more about string manipulation.
Save
Provides a comprehensive overview of string manipulation in F#, covering topics such as string representation, searching, and sorting. It great resource for F# developers who want to learn more about string manipulation.
A comprehensive and in-depth guide to regular expressions, covering advanced topics and techniques, by an author who is widely recognized as an expert in the field.
A comprehensive and technical reference to advanced regular expression features and techniques, covering topics such as Unicode support, lookarounds, and recursive patterns.
A collection of practical recipes and examples demonstrating how to solve common problems using regular expressions, with explanations and code samples in various programming languages.
An accessible introduction to regular expressions, covering the basics and essential concepts, with a focus on practical applications and examples.
A comprehensive and authoritative reference to regular expressions, providing detailed explanations, examples, and advanced topics for experienced users.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dlhfw4/manipulating
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Time
2 hours
Via
Pluralsight
Instructor
Martin Burger
This course belongs to a
collection
called
Cleaning Data with R. It's comprised of four courses:
- Querying and Converting Data Types in R
- Manipulating Dataframes in R
- Coping with Missing, Invalid, and Duplicate Data in R
- Manipulating String Data in R (viewing)
Good to know
Ideal for skilled programmers and data scientist looking to upgrade their knowledge of R
Taught by recognized instructor who is known for their expertise in R
Covers highly relevant topics in string handling, text analysis, and sentiment analysis
Provides hands-on labs and interactive materials, making learning practical
Requires prior knowledge in programming and R, which may be a barrier for some
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser