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

Jane Wall

Offered By

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 continues our 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 too familiar with R
•    you know some R programming but want to learn more about the tidyverse verbs

It is best taken following the first course in the specialization or if you already are familiar with ggplot, RMarkdown, and basic function writing in R.  You will use learn to use readr to read in your data, dplyr to analyze your data, and stringr and forcats to manipulate strings and factors.

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.

Course 2 of 3 in the

Expressway to Data Science: R Programming and Tidyverse Specialization

Beginner Level

Successful completion of Introduction to R Programming and Tidyverse (R Programming and Tidyverse, Course 1) recommended.

Approx. 17 hours to complete

English

What you will learn

You will learn to identify and describe tidy data and transform a non-tidy data set to be tidy in R.
You will learn to analyze data between multiple related data tables.
You will be learn to apply regular expressions to detect patterns in strings and return matches and replace patterns with new values.

Skills you will gain

Data Manipulation
Regular Expression (REGEX)
Programming Principles
R Programming
Data Analysis

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.

Course 2 of 3 in the

Expressway to Data Science: R Programming and Tidyverse Specialization

Beginner Level

Successful completion of Introduction to R Programming and Tidyverse (R Programming and Tidyverse, Course 1) recommended.

Approx. 17 hours to complete

English

Instructor

Jane Wall

Faculty Director of Data Science Programs

Data Science Programs

13,319 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

2 hours to complete

Projects, Tibbles and Importing Data

2 hours to complete

7 videos (Total 35 min)

Week2

Week 2

4 hours to complete

Tidying Data

4 hours to complete

6 videos (Total 35 min), 1 reading, 2 quizzes

Week3

Week 3

3 hours to complete

Relational Data

3 hours to complete

4 videos (Total 19 min), 1 reading, 2 quizzes

Week4

Week 4

5 hours to complete

String Manipulation and Regular Expressions

5 hours to complete

11 videos (Total 50 min), 1 reading, 4 quizzes

11 videos

Introduction to Strings5mSubsetting Strings3mBasic String Matching3mAnchoring Expressions4mCharacter Classes5mControlling the Number of Pattern Matches4mGroups and Backreferences4mDetect Matches5mExtract Matches4mGrouped Matches4mString Splitting and regex()3m

1 reading

String Manipulation with stringr: Cheat Sheet1m

3 practice exercises

String Basics10mRegular Expressions10mApplying Regular Expressions10m

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.

Data Analysis with Tidyverse

About this Course

What you will learn

Skills you will gain