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October 2, 2024
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This course is part of Expressway to Data Science: R Programming and Tidyverse Specialization
Instructor: Jane Wall
7,900 already enrolled
Included with
(44 reviews)
Recommended experience
Beginner level
No prior experience is necessary to successfully complete the course.
(44 reviews)
Recommended experience
Beginner level
No prior experience is necessary to successfully complete the course.
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.
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This course is a gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if:
• 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.
In the first module of this course, you will install and configure R and RStudio. You will review the fundamentals of R and reproducibility, install R packages required for the course, and input basic commands using the RStudio console. Finally, you will create an RMarkdown document - the deliverable for this module.
5 videos6 readings2 assignments1 peer review1 ungraded lab6 plugins
In this module, we will explore functions in R. You will review the syntax of functions and best practices of function creation. You will also practice writing functions with default arguments and argument validation.
10 videos7 readings2 assignments1 peer review4 ungraded labs
In this module, you will be introduced to ggplot2 - an R package for data visualization. You will explore the different grammatical elements and aesthetic mappings (layers) that are essential to visualize data in ggplot2.
7 videos2 readings1 assignment1 peer review1 ungraded lab
In the final module of this course, you will be introduced to data analysis using dplyr. You will learn and practice with the many dplyr verbs including select, filter, arrange, mutate, group_by, and summarize.
14 videos3 readings2 assignments1 peer review3 ungraded labs
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
CU Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
University of Colorado Boulder
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University of Colorado Boulder
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University of Colorado Boulder
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Johns Hopkins University
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Taking this course by University of Colorado Boulder may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
Taking this course by University of Colorado Boulder may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
University of Colorado Boulder
Degree · 2 years
44 reviews
56.81%
22.72%
13.63%
2.27%
4.54%
Showing 3 of 44
Reviewed on Sep 11, 2023
Thanks! so much. This course helped me understand the excellent features for data analysis using R programming. This will certainly help me in my data science career path.
Reviewed on Nov 1, 2022
Very good course for first time R learners. Challenging but doable with some determination and attention to detail.
Reviewed on Jun 18, 2023
The course was a solid introduction to R Markdown using the R language. It covers using the Tidyverse libraries for basic analysis and visualizations.
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