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Coursera 4.3 (9)
Overview
R is one of the most popular languages used in the data science community and essential for any aspiring data scientist. This Expressway to Data Science: R Programming and Tidyverse course offered by Coursera in partnership with University of Colorado Boulder will teach you how to do data science in R whether you are a beginning or a seasoned programmer.
You will begin this three-course specialization by reviewing the fundamentals of programming in R and the importance of creating reproducible research. Then, you will be introduced to the tidyverse where you will learn how to use R to import and tidy data, use the ggplot2 library to craft clear and insightful visualizations, and combine data from multiple sources.
By completing this specialization, you will be prepared to begin or advance your data science journey using R. It is a prerequisite for students pursuing CU Boulder’s Master of Science in Data Science.
Applied Learning Project
In Expressway to Data Science: R Programming and Tidyverse, you will complete coding exercies and quizzes to develop and refine your ability to write R code and reflect on your what you have learned. In the thrid course, R Programming and Tidyverse Capstone Project, a semi-guided capstone project using real-world data designed for you to add to your data science portfolio.
What You Will Learn:
- Install R and configure RStudio
- Create clear and effective data visualizations using the ggplot2 library
- Use the tidyverse to import, tidy, and join data
- Develop and communicate reproducible research using RMarkdown
Skills You Will Gain:
- Data Analysis
- Communication
- Data Manipulation
- Data Visualization
- R Programming
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Introduction to R Programming and Tidyverse
- Data Analysis with Tidyverse
- R Programming and Tidyverse Capstone Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- Flexible
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Computer Sciences View 746 other Short Courses in Computer Sciences in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner level
- No previous background is required to complete this specialization.
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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