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Manipulating String Data in R

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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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

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Learners who complete Manipulating String Data in R will develop knowledge and skills that may be useful to these careers:

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Reading list

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How JavaScript Works

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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.

How JavaScript Works

Kindle Edition

C# and the .NET Platform

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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.

Manipulating String Data in R

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