关于此课程： This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses. We cover basic R concepts and language fundamentals, key concepts like tidy data and related "tidyverse" tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources.
此课程适用人群： This course is aimed at learners who have some experience programming computers but who are not familiar with the R environment.
教学方： Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
教学方： Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| 基本信息 | 课程 1（共 5 门，Mastering Software Development in R Specialization ） |
| 级别 | 中级 |
| 语言 | English |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
- Leyendo: Course Textbook: Mastering Software Development in R
- Leyendo: Syllabus
- Leyendo: Swirl Assignments
- Leyendo: Datasets
- Leyendo: Lesson Introduction
- Leyendo: Evaluation
- Leyendo: Objects
- Leyendo: Numbers
- Leyendo: Creating Vectors
- Leyendo: Mixing Objects
- Leyendo: Explicit Coercion
- Leyendo: Matrices
- Leyendo: Lists
- Leyendo: Factors
- Leyendo: Missing Values
- Leyendo: Data Frames
- Leyendo: Names
- Leyendo: Attributes
- Leyendo: Summary
- Leyendo: The Importance of Tidy Data
- Leyendo: The “Tidyverse”
- Leyendo: Reading Tabular Data with the readr Package
- Leyendo: Reading Web-Based Data
- Leyendo: Flat files online
- Leyendo: Requesting data through a web API
- Leyendo: Scraping web data
- Leyendo: Parsing JSON, XML, or HTML data
- Leyendo: Basic Data Manipulation
- Leyendo: Piping
- Leyendo: Summarizing data
- Leyendo: Selecting and filtering data
- Leyendo: Adding, changing, or renaming columns
- Leyendo: Spreading and gathering data
- Leyendo: Merging datasets
- Leyendo: Working with Dates, Times, Time Zones
- Leyendo: Converting to a date or date-time class
- Leyendo: Pulling out date and time elements
- Leyendo: Working with time zones
- Leyendo: Text Processing and Regular Expressions
- Leyendo: Text Manipulation Functions in R
- Leyendo: Regular Expressions
- Leyendo: RegEx Functions in R
- Leyendo: The stringr Package
- Leyendo: Summary
- Leyendo: The Role of Physical Memory
- Leyendo: Back of the Envelope Calculations
- Leyendo: Internal Memory Management in R
- Leyendo: Working with Large Datasets
- Leyendo: In-memory strategies
- Leyendo: Out-of-memory strategies
- Leyendo: Diagnosing Problems
- Leyendo: How to Google Your Way Out of a Jam
- Leyendo: Asking for Help
- Leyendo: Quiz Instructions
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
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| 获得可共享的课程证书 | 可用 |
Very detailed with clear instruction of basics to a bit of advanced on R. A fantastic crash course for any beginner
The presentation of the material is a little all over the place and it is mostly just rehashing the material from an online textbook without any videos. The last assignment is pretty good practice though.
Very usefull
Excelente curso para los que comenzamos o ya tenemos un poco de experiencia con R. Es necesario saber inglés, pero me parace que con un nivel intermedio no tendrás ningún problema.