Introduction to R Programming and Tidyverse

This course is part of Expressway to Data Science: R Programming and Tidyverse Specialization

Instructor: Jane Wall

What you'll learn

  •   By successfully completing this course, you will be able to write functions in R.
  •   You will be able to analyze and visualize a data set.
  •   You will be able to use RMarkdown to share documents in reports with the global R community.
  • Skills you'll gain

  •   Rmarkdown
  •   Statistical Programming
  •   Debugging
  •   R Programming
  •   Statistical Reporting
  •   Data Visualization Software
  •   Data Manipulation
  •   Data Wrangling
  •   Tidyverse (R Package)
  •   Ggplot2
  •   Software Installation
  •   Data Analysis
  • There are 4 modules in this course

    • you want to do data analysis but don’t know programming • you know programming but aren’t familiar with R • you know some R programming but want to learn the tidyverse verbs You will learn to do data visualization and analysis in a reproducible manner and use functions that allow your code to be easily read and understood. You will use RMarkdown to create nice documents and reports that execute your code freshly every time it’s run and that capture your thoughts about the data along the way. This course has been designed for learners from non-STEM backgrounds to help prepare them for more advanced data science courses by providing an introduction to programming and to the R language. I am excited for you to join me on the journey! The course logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.

    Functions

    Data Visualization using ggplot2

    Data Analysis with dplyr

    Explore more from Data Analysis

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