R Programming Capstone
Mastering Software Development in R Capstone
This course is part of Mastering Software Development in R Specialization
Instructors: Roger D. Peng, PhD
1,885 already enrolled
Included with
(44 reviews)
Details to know
Add to your LinkedIn profile
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
The overall goal of the capstone project is to integrate the skills you have developed over the courses in this Specialization and to build a software package that can be used to work with the NOAA Significant Earthquakes dataset.
What's included
1 video2 readings
Show us when earthquakes occurred in different countries, their magnitude, and their toll on human life.
What's included
1 reading
Show and annotate the earthquake epicenters.
What's included
1 reading
Documentation is one of the most important and most commonly overlooked steps when writing software, but you're not going to let that happen in your project.
What's included
2 readings1 peer review
The moment of truth. It's time to push your package to GitHub.
What's included
1 reading
It's time to submit your deployed package for evaluation and to evaluate the work of a few of your classmates.
What's included
1 peer review
Instructors
Offered by
Recommended if you're interested in Data Analysis
Why people choose Coursera for their career
Learner reviews
44 reviews
- 5 stars
45.45%
- 4 stars
31.81%
- 3 stars
6.81%
- 2 stars
6.81%
- 1 star
9.09%
Showing 3 of 44
Reviewed on Jul 27, 2022
This programming assignment got me to practice essential coding skills for writing and deploying a package in R, which is super helpful.
Reviewed on Apr 19, 2020
This course is excellent! I truly learned a lot about software development with R. The only problem is that it is open a few times a year, due to the small number of participants.
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
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.
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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.