R Programming Capstone
This course is part of the Mastering Software Development in R Specialization
Mastering Software Development in R Capstone
Offered By
About this Course
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Learner Career Outcomes
Learner Career Outcomes
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Course 5 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 9 hours to complete
Suggested: 2 hours/week
English
Subtitles: Georgian, Estonian, German, Thai, English, Japanese, Nepali
Syllabus - What you will learn from this course
Week
121 minutes to complete
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 (Total 1 min), 2 readings
1 video
2 readings
Introduction10m
Module 1: Obtain and Clean the Data10m
Week
210 minutes to complete
Building Geoms
Show us when earthquakes occurred in different countries, their magnitude, and their toll on human life.
1 reading
1 reading
Module 2: Visualization Tools10m
Week
310 minutes to complete
Building a Leaflet Map
Show and annotate the earthquake epicenters.
1 reading
1 reading
Module 3: Mapping Tools10m
Week
42 hours to complete
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, 1 quiz
2 readings
Documentation and Packaging Tasks10m
Testing10m
Instructors
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brooke Anderson
Assistant Professor, Environmental & Radiological Health SciencesColorado State University
About 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.
About the Mastering Software Development in R Specialization
R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing and scaling useful data science results and products.
This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.
This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
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.
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Is financial aid available?
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