Course Description

Learn how to write a data report quickly and effectively with the R Markdown package, and share your results with your friends, colleagues or the rest of the world. Learn how you can author your own R Markdown reports, and how to automate the reporting process so that you have your own reproducible reports. By the end of the interactive data analysis reporting tutorial, you will be able to generate reports straight from your R code, documenting your work — and its results — as an HTML, pdf, slideshow or Microsoft Word document.

1Authoring R Markdown Reports [size=0.9]FREE
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Begin with a real life case study written in R code and then learn to narrate the code, adding interpretations, explanations, and descriptions with Markdown, the text syntax at the heart of R Markdown.

• [color=inherit !important]Section 1 - Introduction

  [size=0.8]50 xp

• [color=inherit !important]The R Markdown Exercise interface

  [size=0.8]100 xp

• [color=inherit !important]Explore R Markdown

  [size=0.8]100 xp

• [color=inherit !important]Section 2 - R code for your report

  [size=0.8]50 xp

• [color=inherit !important]Prepare the workspace for preliminary analysis

  [size=0.8]100 xp

• [color=inherit !important]Prepare your data

  [size=0.8]100 xp

• [color=inherit !important]Experiment with plot generation

  [size=0.8]100 xp

• [color=inherit !important]Prepare a model component

  [size=0.8]100 xp

• [color=inherit !important]Section 3 - Markdown

  [size=0.8]50 xp

• [color=inherit !important]Styling narrative sections

  [size=0.8]100 xp

• [color=inherit !important]Lists in R Markdown

  [size=0.8]100 xp

• [color=inherit !important]LaTeX equations

  [size=0.8]100 xp