關於此課程：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.
此課程適用人群：This course is aimed at learners who have some experience programming computers but who are not familiar with the R environment.
製作方： 约翰霍普金斯大学
教學方： Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health教學方： Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| 基本信息 | 課程 1（共 5 門，Mastering Software Development in R Specialization ） |
| 級別 | 中級 |
| 語言 | English |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
Basic R Language
In this module, you'll learn the basics of R, including syntax, some tidy data principles and processes, and how to read data into R.
1 個視頻, 27 個閱讀材料
- 阅读: Course Textbook: Mastering Software Development in R
- 阅读: Syllabus
- 阅读: Swirl Assignments
- 阅读: Datasets
- 阅读: Lesson Introduction
- 阅读: Evaluation
- 阅读: Objects
- 阅读: Numbers
- 阅读: Creating Vectors
- 阅读: Mixing Objects
- 阅读: Explicit Coercion
- 阅读: Matrices
- 阅读: Lists
- 阅读: Factors
- 阅读: Missing Values
- 阅读: Data Frames
- 阅读: Names
- 阅读: Attributes
- 阅读: Summary
- 阅读: The Importance of Tidy Data
- 阅读: The “Tidyverse”
- 阅读: Reading Tabular Data with the readr Package
- 阅读: Reading Web-Based Data
- 阅读: Flat files online
- 阅读: Requesting data through a web API
- 阅读: Scraping web data
- 阅读: Parsing JSON, XML, or HTML data
已評分: Swirl Lessons
第 2 週
Data Manipulation
During this module, you'll learn to summarize, filter, merge, and otherwise manipulate data in R, including working through the challenges of dates and times.
11 個閱讀材料
- 阅读: Basic Data Manipulation
- 阅读: Piping
- 阅读: Summarizing data
- 阅读: Selecting and filtering data
- 阅读: Adding, changing, or renaming columns
- 阅读: Spreading and gathering data
- 阅读: Merging datasets
- 阅读: Working with Dates, Times, Time Zones
- 阅读: Converting to a date or date-time class
- 阅读: Pulling out date and time elements
- 阅读: Working with time zones
已評分: Swirl Lessons
第 3 週
Text Processing, Regular Expression, & Physical Memory
During this module, you'll learn to use R tools and packages to deal with text and regular expressions. You'll also learn how to manage and get the most from your computer's physical memory when working in R.
9 個閱讀材料
- 阅读: Text Processing and Regular Expressions
- 阅读: Text Manipulation Functions in R
- 阅读: Regular Expressions
- 阅读: RegEx Functions in R
- 阅读: The stringr Package
- 阅读: Summary
- 阅读: The Role of Physical Memory
- 阅读: Back of the Envelope Calculations
- 阅读: Internal Memory Management in R
已評分: Swirl Lessons
第 4 週
Large Datasets
In this final module, you'll learn how to overcome the challenges of working with large datasets both in memory and out as well as how to diagnose problems and find help.
7 個閱讀材料
- 阅读: Working with Large Datasets
- 阅读: In-memory strategies
- 阅读: Out-of-memory strategies
- 阅读: Diagnosing Problems
- 阅读: How to Google Your Way Out of a Jam
- 阅读: Asking for Help
- 阅读: Quiz Instructions
已評分: Reading and Summarizing Data
常見問題解答
運作方式
课程作业
每门课程都像是一本互动的教科书，具有预先录制的视频、测验和项目。
来自同学的帮助
与其他成千上万的学生相联系，对想法进行辩论，讨论课程材料，并寻求帮助来掌握概念。
证书
获得正式认证的作业，并与朋友、同事和雇主分享您的成功。
製作方
约翰霍普金斯大学
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.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
good exercises to help you get familiar (or revise) R programming concepts
Very challenging!
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.
Great course in learning the basics of writing idiomatic R. dplyr and tidyr are so cool!