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Quantitative Text Analysis and Scaling in R
Nicole Baerg
Nicole Baerg
By the end of this project, you will learn about the concept of document scaling in textual analysis in R. You will know how to load and pre-process a data set of text documents by converting the data set into a corpus and document feature matrix. You will know how to run an unsupervised document scaling model and explore and plot the scaling outcome.
Register for this course and see more details by visiting:
OpenCourser.com/course/gjeo2u/quantitative
What's inside
Syllabus
Project Overview
By the end of this project, you will learn about the concept of document scaling in textual analysis in R. You will know how to load and pre-process a data set of text documents by converting the data set into a corpus and document feature matrix. You will know how to run an unsupervised document scaling model and explore and plot the scaling outcome.
This project is aimed at beginners who have a basic familiarity with the statistical programming language R and the RStudio environment, or people with a small amount of experience who would like to learn how to scale documents in text analysis.
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possible dealbreakers
Teaches document scaling, which is useful for text analysis
Provides hands-on practice with document scaling in R
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Activities
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Quantitative Text Analysis and Scaling in R.
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Career center
Learners who complete Quantitative Text Analysis and Scaling in R will develop knowledge and skills
that may be useful to these careers:
Computational Linguist
Computational Linguist
Computational Linguistics professionals build computer systems to help process and analyze human languages. This course is an excellent fit for this role because it teaches document scaling, a crucial technique in computational linguistics. You'll gain hands-on experience converting text documents into data sets and exploring the results of scaling models.
Text Analyst
Text Analyst
Text Analysts collect and analyze text data to identify trends and patterns. For this field, Quantitative Text Analysis and Scaling in R lays a foundation for success. You'll learn how to convert text documents into data sets and explore the results of scaling models. This course empowers you with the skills to draw meaningful insights from text data.
Information Retrieval Engineer
Information Retrieval Engineer
Quantitative Text Analysis and Scaling in R may be an excellent choice to help you get started as an Information Retrieval Engineer. This role involves making information easily accessible through search. You'll learn about the concept of document scaling in textual analysis. You'll load and preprocess a data set of text documents by converting the data set into a corpus and document feature matrix.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you must know how to build and train models that can understand text data. This course provides a solid foundation for document scaling, which is a key part of working with text data. You'll learn about loading, prepping, and analyzing text data to build effective machine learning models.
Software Engineer
Software Engineer
As a Software Engineer, you will need to have a strong understanding of how to work with text data. This course will teach you how to convert text documents into data sets and apply unsupervised document scaling models. This knowledge will be beneficial when building software that processes text data.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use statistical and mathematical models to analyze data and make predictions. This course may be helpful for those interested in becoming Quantitative Analysts who work with text data. You will learn how to convert text documents into numerical data and use unsupervised document scaling models to find patterns in the data.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers help computers understand human speech and use it to provide insights. By enrolling in the Quantitative Text Analysis and Scaling in R course, you may gain the foundational knowledge to enter this field. This course covers topics like converting text documents into data sets and applying unsupervised document scaling models, which are both relevant to NLP Engineering.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines. In this role, you need to be able to work with text data. This course aims at beginners who want to learn how to scale documents in text analysis. You will learn how to load and preprocess a data set of text documents by converting the data set into a corpus and document feature matrix.
Content Analyst
Content Analyst
Content Analysts analyze text data to identify trends and patterns. This course may be beneficial for aspiring Content Analysts who want to learn text scaling. You will learn about the concept of document scaling in textual analysis. You will load and preprocess a data set of text documents by converting the data set into a corpus and document feature matrix.
Market Researcher
Market Researcher
Market Researchers analyze market data to identify trends and opportunities. This course may be beneficial for aspiring Market Researchers interested in learning text scaling. You will learn about the concept of document scaling in textual analysis. You will load and preprocess a data set of text documents by converting the data set into a corpus and document feature matrix.
Data Scientist
Data Scientist
This course is an excellent starting point for learning text scaling. This knowledge can be helpful for Data Scientists, who often need to work with text data. This course covers how to convert text documents into data sets and explore the scaling outcomes. These skills are important for Data Scientists who want to understand the relationships between documents.
UX Researcher
UX Researcher
UX Researchers conduct research to improve user experience. This course may be beneficial for aspiring UX Researchers who want to learn text scaling. You will learn about the concept of document scaling in textual analysis. You will load and preprocess a data set of text documents by converting the data set into a corpus and document feature matrix.
SEO Specialist
SEO Specialist
SEO Specialists optimize websites for search engines. This course may be beneficial for aspiring SEO Specialists who want to learn text scaling. You will learn about the concept of document scaling in textual analysis. You will load and preprocess a data set of text documents by converting the data set into a corpus and document feature matrix.
Digital Marketing Analyst
Digital Marketing Analyst
Digital Marketing Analysts analyze data to improve marketing campaigns. This course may be beneficial for aspiring Digital Marketing Analysts who want to learn text scaling. You will learn about the concept of document scaling in textual analysis. You will load and preprocess a data set of text documents by converting the data set into a corpus and document feature matrix.
Business Analyst
Business Analyst
Business Analysts use data to solve business problems. This course may be beneficial for aspiring Business Analysts who want to learn text scaling. You will learn about the concept of document scaling in textual analysis. You will load and preprocess a data set of text documents by converting the data set into a corpus and document feature matrix.
For more career information including salaries, visit:
OpenCourser.com/course/gjeo2u/quantitative
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Quantitative Text Analysis and Scaling in R.
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Provides a practical guide to text mining in R. It covers a wide range of topics, including text preprocessing, feature engineering, and modeling.
Provides a practical guide to text analytics with Python. It covers a wide range of topics, including text preprocessing, feature engineering, and modeling.
Provides a comprehensive introduction to deep learning for natural language processing. It covers a wide range of topics, including text preprocessing, feature engineering, and modeling.
Provides a comprehensive introduction to speech and language processing. It covers a wide range of topics, including speech recognition, language modeling, and natural language understanding.
Provides a comprehensive introduction to big data analytics for textual data. It covers a wide range of topics, including text preprocessing, feature engineering, and modeling.
Provides a comprehensive introduction to information retrieval. It covers a wide range of topics, including text preprocessing, feature engineering, and modeling.
Provides a comprehensive introduction to statistical natural language processing. It covers a wide range of topics, including text preprocessing, feature engineering, and modeling.
Provides a practical guide to natural language processing with Python and NLTK. It covers a wide range of topics, including text preprocessing, feature engineering, and modeling.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/gjeo2u/quantitative
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Nicole Baerg
Language
English
Good to know
Teaches document scaling, which is useful for text analysis
Provides hands-on practice with document scaling in R
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