Rmarkdown

Rmarkdown is a reporting tool that combines code, its results, and descriptive text into a single, coherent, and reproducible document. Coursera’s Rmarkdown catalogue teaches you the critical elements of this dynamic report generation package in R. You'll learn how to embed R code into a markdown document, format text and code output, create high-quality reports that combine text, code, and results, and automate data analysis and reporting processes. Additionally, you'll discover how Rmarkdown integrates with other tools like knitr and Pandoc to create web pages, PDFs, and slides, among others. This skill will help you effectively communicate your data analysis results, enhance reproducibility, and streamline your workflow, whether you're a data analyst, data scientist, researcher, or someone interested in data reporting.
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Results for "rmarkdown"

  • Status: Preview

    Skills you'll gain: Rmarkdown, Collaborative Software, Technical Documentation, Document Management, Technical Writing, Data Sharing, R (Software), R Programming, YAML, Hypertext Markup Language (HTML), File Management, Cascading Style Sheets (CSS), Version Control

  • Status: New
    Status: Free Trial

    Case Western Reserve University

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations

  • Status: Preview

    Ball State University

    Skills you'll gain: Data Visualization, Rmarkdown, Exploratory Data Analysis, Data Visualization Software, Ggplot2, Interactive Data Visualization, Plot (Graphics), Statistical Visualization, R (Software), R Programming, Data Storytelling, Data Presentation, Histogram, Scatter Plots, Data Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

  • Status: Free

    Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Processing, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Revenue Management, Forecasting, Business Strategy, Demand Planning, Machine Learning

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