R Programming and Tidyverse Capstone Project

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R Programming and Tidyverse Capstone Project

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

Instructor: Jane Wall

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Prepare for a degree

Learn more

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Prepare for a degree

Learn more

What you'll learn

Utilize R programming to import, clean, and tidy data
Analyze and interpret data using R programming

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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Build your subject-matter expertise

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

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

In this third and final course of the "Expressway to Data Science: R Programming and Tidyverse" specialization you will reinforce and display your R and tidyverse skills by completing an analysis of COVID-19 data! Here is a chance to apply your skills to a real-world dataset that has effected all of us.

Throughout the capstone, you will import COVID-19 data; clean, tidy, and join datasets; and develop visualizations. You will also provide some analysis and interpretation to your results, preparing you for your journey into data science. By the end of the course, you will have developed a report that you can add to or use to begin a data science portfolio. The course logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.

This week, you will be introduced to the capstone project, and complete Part 1 of the project. In Part 1, you will import COVID-19 data provided by the New York Times to analyze how COVID-19 impacted the United States through case and death statistics.

What's included

3 readings1 peer review1 ungraded lab

Last week, you analyzed the number of cases and deaths throughout the United States. This week, you will turn your attention to specific states of your choice to understand how case and deaths rates differed state by state.

What's included

1 reading1 peer review1 ungraded lab

COVID-19 was a global pandemic and during this final week you will import global COVID-19 data from Johns Hopkins University to investigate COVID-19 cases and deaths in other countries.

What's included

1 reading1 peer review1 ungraded lab

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Prepare for a degree

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.

Instructor

Jane Wall

University of Colorado Boulder

6 Courses39,457 learners

Offered by

University of Colorado Boulder

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.

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.

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