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

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Jane Wall

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Associated with the Master of Science in Data Science degree
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Expressway to Data Science: R Programming and Tidyverse SpecializationUniversity of Colorado Boulder

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Course 1 of 3 in the

Expressway to Data Science: R Programming and Tidyverse Specialization

Beginner Level

No prior experience is necessary to successfully complete the course.

Approx. 23 hours to complete

English

What you will 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 will gain

Programming Principles
R Programming
Data Analysis
Data Visualization (DataViz)
basic statistics

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 3 in the

Expressway to Data Science: R Programming and Tidyverse Specialization

Beginner Level

No prior experience is necessary to successfully complete the course.

Approx. 23 hours to complete

English

Instructor

Instructor rating

3.5/5 (5 Ratings)

Jane Wall

Faculty Director of Data Science Programs

Data Science Programs

13,238 Learners

7 Courses

Offered by

University of Colorado Boulder

Start working towards your Master's degree

This course is related to the 100% online Master of Science in Data Science from University of Colorado Boulder. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

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Syllabus - What you will learn from this course

Week1

Week 1

7 hours to complete

Introduction to R, RStudio and RMarkdown

7 hours to complete

5 videos (Total 25 min), 6 readings, 3 quizzes

Week2

Week 2

7 hours to complete

Functions

7 hours to complete

10 videos (Total 50 min), 7 readings, 3 quizzes

10 videos

Our First Function10mNaming a Function2mFunction Inputs3mA Change in Function Requirements4mConditional Execution7mMultiple Conditions5mFor Loops1mChecking Inputs4mFunction Output3mIntroduction to Pipes6m

7 readings

Resources2mWriting a Function10mStatement Conditions5mThe Switch Statement5mUsing the Stop Function5mReturn Specific Values5mUsing Pipes5m

2 practice exercises

Functions15mInput Checking and Outputs15m

Week3

Week 3

3 hours to complete

Data Visualization using ggplot2

3 hours to complete

7 videos (Total 32 min), 2 readings, 2 quizzes

Week4

Week 4

6 hours to complete

Data Analysis with dplyr

6 hours to complete

14 videos (Total 79 min), 3 readings, 3 quizzes

14 videos

Introduction to dplyr5mChaining Functions4mSelecting Variables (Columns)6mConditionally Selecting Rows5mSelecting Rows by Location7mArrange Rows by Value4mRenaming Data3mDistinct, Mutate, and Transmute4mRename, Relocate, and Summarize4mSummary Functions8mCounting Observations5mGrouping Variables: Part 15mGrouping Variables: Part 25mGrouping Variables: Part 35m

3 readings

Main dplyr Functions10mR and NA2mGrouping datasets10m

2 practice exercises

dplyr Verbs5mSelect, Filter, and Arrange30m

Reviews

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TOP REVIEWS FROM INTRODUCTION TO R PROGRAMMING AND TIDYVERSE

by EMNov 1, 2022

Very good course for first time R learners. Challenging but doable with some determination and attention to detail.

View all reviews

About the Expressway to Data Science: R Programming and Tidyverse Specialization

R is one of the most popular languages used in the data science community and essential for any aspiring data scientist. This specialization 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. The specialization logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.

Expressway to Data Science: R Programming and Tidyverse

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Introduction to R Programming and Tidyverse

About this Course

What you will learn

Skills you will gain