This course is part of the Mastering Software Development in R Specialization

4.0
stars
41 ratings

Roger D. Peng, PhD +1 more instructor

1,660 already enrolled

Offered By

Mastering Software Development in R SpecializationJohns Hopkins University

About this Course

1,577 recent views

R Programming Capstone

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 5 of 5 in the

Mastering Software Development in R Specialization

Intermediate Level

Approx. 3 hours to complete

English

Subtitles: Georgian, French, Portuguese (European), Estonian, German, Russian, Thai, English, Spanish, Japanese, Nepali

Instructors

Roger D. Peng, PhD

Associate Professor, Biostatistics

Bloomberg School of Public Health

1,341,541 Learners

35 Courses

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences

Colorado State University

66,455 Learners

5 Courses

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 5 of 5 in the

Mastering Software Development in R Specialization

Intermediate Level

Approx. 3 hours to complete

English

Subtitles: Georgian, French, Portuguese (European), Estonian, German, Russian, Thai, English, Spanish, Japanese, Nepali

Offered by

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.

Syllabus - What you will learn from this course

Week

Week 1

21 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.

21 minutes to complete

1 video (Total 1 min), 2 readings

Week

Week 2

10 minutes to complete

Building Geoms

Show us when earthquakes occurred in different countries, their magnitude, and their toll on human life.

10 minutes to complete

1 reading

Week

Week 3

10 minutes to complete

Building a Leaflet Map

Show and annotate the earthquake epicenters.

10 minutes to complete

1 reading

Week

Week 4

1 hour 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.

1 hour to complete

2 readings

Reviews

4.0

11 reviews

5 stars
43.90%
4 stars
34.14%
3 stars
7.31%
2 stars
7.31%
1 star
7.31%

TOP REVIEWS FROM MASTERING SOFTWARE DEVELOPMENT IN R CAPSTONE

by IOApr 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.

View all reviews

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?
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, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Mastering Software Development in R Capstone

About this Course