Informações sobre o curso: R Programming Capstone
Desenvolvido por: Johns Hopkins University
Ministrado por: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Ministrado por: Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| Informações básicas | Curso 5 de 5 no Mastering Software Development in R Specialization |
| Nível | Intermediário |
| Idioma | English, Legendas: Georgian, Estonian, German, Thai, Japanese, Nepali |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 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 vídeos, 2 leituras
- Reading: Introduction
- Reading: Module 1: Obtain and Clean the Data
SEMANA 2
Building Geoms
Show us when earthquakes occurred in different countries, their magnitude, and their toll on human life.
1 leituras
- Reading: Module 2: Visualization Tools
SEMANA 3
Building a Leaflet Map
Show and annotate the earthquake epicenters.
1 leituras
- Reading: Module 3: Mapping Tools
SEMANA 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 leituras
- Reading: Documentation and Packaging Tasks
- Reading: Testing
Nota atribuída: Documentation, Packaging, and Testing
SEMANA 5
Deployment
The moment of truth. It's time to push your package to GitHub.
1 leituras
- Reading: GitHub and Travis
SEMANA 6
Final Assessment
It's time to submit your deployed package for evaluation and to evaluate the work of a few of your classmates.
Nota atribuída: Package Evaluation
Perguntas frequentes
Como funciona
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Desenvolvedores
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
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.