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Overview
This Expressway to Data Science - R Programming and Tidyverse Specialization 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.
R is one of the most popular languages used in the data science community and essential for any aspiring data scientist.
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.
What you'll learn
- Install R and configure RStudio
- Use the tidyverse to import, tidy, and join data
- Create clear and effective data visualizations using the ggplot2 library
- Develop and communicate reproducible research using RMarkdown
Skills you'll gain
- Computer Programming
- Programming Principles
- Statistical Programming
- Data Visualization
- Computer Programming Tools
- Data Structures
Programme Structure
Courses include:
- Introduction to R Programming and Tidyverse
- Data Analysis with Tidyverse
- R Programming and Tidyverse Capstone Project
Key information
Duration
- Part-time
- 1 months
- Flexible
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences View 466 other Short Courses in Computer Sciences in United StatesWhat students do after studying
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Academic 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.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
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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