About this course: R Programming Capstone
Created by: Johns Hopkins University
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public HealthTaught by: Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| Basic Info | Course 5 of 5 in the Mastering Software Development in R Specialization |
| Level | Intermediate |
| Language | English, Subtitles: Georgian, Estonian, German, Thai, Japanese, Nepali |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Obtain and Clean the Data
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.
1 video, 2 readings
- Reading: Introduction
- Reading: Module 1: Obtain and Clean the Data
WEEK 2
Building Geoms
Show us when earthquakes occurred in different countries, their magnitude, and their toll on human life.
1 reading
- Reading: Module 2: Visualization Tools
WEEK 3
Building a Leaflet Map
Show and annotate the earthquake epicenters.
1 reading
- Reading: Module 3: Mapping Tools
WEEK 4
Documentation and Packaging
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.
2 readings
- Reading: Documentation and Packaging Tasks
- Reading: Testing
Graded: Documentation, Packaging, and Testing
WEEK 5
Deployment
The moment of truth. It's time to push your package to GitHub.
1 reading
- Reading: GitHub and Travis
WEEK 6
Final Assessment
It's time to submit your deployed package for evaluation and to evaluate the work of a few of your classmates.
Graded: Package Evaluation
FAQs
How It Works
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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Creators
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Pricing
| Purchase Course | |
|---|---|
| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
Ratings and Reviews
Exceptional Course ! :)
Good Course.
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SB
The exercise really summarizes pretty much what we have learned in the past 4 courses. It's justly designed to be challenging enough, but not too burdensome. This certification provides all the building blocks of data analysis and software development in R, data presentation and packaging for distribution and collaborative works. If combined with another certification in data science and machine learning, they would make a formidable offering to any candidate who wish to try a career in data science/data analysis field. Thank you Coursera, Roger and Brooke.