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Quantitative Text Analysis and Measures of Readability in R

Quantitative Text Analysis and Measures of Readability in R

By the end of this project, you will be able to load textual data into R and turn it into a corpus object. You will also understand the concept of measures of readability in textual analysis. You will know how to estimate the level of readability of a text document or corpus of documents using a number of different readability metrics and how to plot the variation in readability levels in a text document corpus over time at the document and paragraph level.

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  • Self Paced
  • 3 ساعات
  • الإنجليزية
الاشتراك الشهري
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  • الباقة الإبتدائية @ AED 99 + VAT
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  • Free
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Advanced Data Visualization with R

Advanced Data Visualization with R

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports.

  • Course by
  • Self Paced
  • 11 ساعات
  • الإنجليزية
الاشتراك الشهري
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  • الباقة الإبتدائية @ AED 99 + VAT
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Introduction to Distributions in R

Introduction to Distributions in R

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 review the fundamentals of generating random numerical data from distributions in R.

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  • Self Paced
  • 2 ساعات
  • الإنجليزية
الاشتراك الشهري
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  • الباقة الإبتدائية @ AED 99 + VAT
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  • Free
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Data Visualization Capstone

Data Visualization Capstone

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports.

  • Course by
  • Self Paced
  • 22 ساعات
  • الإنجليزية
الاشتراك الشهري
متضمن في
  • الباقة الإبتدائية @ AED 99 + VAT
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Getting Started with Data Visualization in R

Getting Started with Data Visualization in R

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports.

  • Course by
  • Self Paced
  • 12 ساعات
  • الإنجليزية
الاشتراك الشهري
متضمن في
  • الباقة الإبتدائية @ AED 99 + VAT
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Introduction to Text Classification in R with quanteda

Introduction to Text Classification in R with quanteda

In this guided project you will learn how to import textual data stored in raw text files into R, turn these files into a corpus (a collection of textual documents), reshape them into paragraphs from documents and tokenize the text all using the R software package quanteda. You will then learn how to classify the texts using the Naive Bayes algorithm.

  • Course by
  • Self Paced
  • 2 ساعات
  • الإنجليزية
الاشتراك الشهري
متضمن في
  • الباقة الإبتدائية @ AED 99 + VAT
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  • Free
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Publishing Visualizations in R with Shiny and flexdashboard

Publishing Visualizations in R with Shiny and flexdashboard

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports.

  • Course by
  • Self Paced
  • 12 ساعات
  • الإنجليزية
الاشتراك الشهري
متضمن في
  • الباقة الإبتدائية @ AED 99 + VAT
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Designing, Running, and Analyzing Experiments

Designing, Running, and Analyzing Experiments

You may never be sure whether you have an effective user experience until you have tested it with users. In this course, you’ll learn how to design user-centered experiments, how to run such experiments, and how to analyze data from these experiments in order to evaluate and validate user experiences. You will work through real-world examples of experiments from the fields of UX, IxD, and HCI, understanding issues in experiment design and analysis.

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  • Self Paced
  • 15 ساعات
  • الإنجليزية
الاشتراك الشهري
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  • الباقة الإبتدائية @ AED 99 + VAT
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Data Visualization in R with ggplot2

Data Visualization in R with ggplot2

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports.

  • Course by
  • Self Paced
  • 13 ساعات
  • الإنجليزية
الاشتراك الشهري
متضمن في
  • الباقة الإبتدائية @ AED 99 + VAT
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R Programming

R Programming

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.

  • Course by
  • Self Paced
  • 57 ساعات
  • الإنجليزية
الاشتراك الشهري
متضمن في
  • الباقة الإبتدائية @ AED 99 + VAT
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  • AED 170.99 + VAT
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