# 面向数据科学的R语言入门

## Introduction to R for Data Science

Learn the R statistical programming language, the lingua franca of data science in this hands-on course.

1194 次查看

edX
• 完成时间大约为 4
• 初级
• 英语

### 你将学到什么

Introductory R language fundamentals and basic syntax

What R is and how it's used to perform data analysis

Become familiar with the major R data structures

Create your own visualizations using R

### 课程概况

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs.

This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.

What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform. Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution.

Enjoy!

edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

### 课程大纲

Section 1: Introduction to Basics
Take your first steps with R. Discover the basic data types in R and assign your first variable.

Section 2: Vectors
Analyze gambling behaviour using vectors. Create, name and select elements from vectors.

Section 3: Matrices
Learn how to work with matrices in R. Do basic computations with them and demonstrate your knowledge by analyzing the Star Wars box office figures.

Section 4: Factors
R stores categorical data in factors. Learn how to create, subset and compare categorical data.

Section 5: Data Frames
When working R, you'll probably deal with Data Frames all the time. Therefore, you need to know how to create one, select the most interesting parts of it, and order them.

Section6: Lists
Lists allow you to store components of different types. Section 6 will show you how to deal with lists.

Section 7: Basic Graphics
Discover R's packages to do graphics and create your own data visualizations.

### 预备知识

None, but previous experience in basic mathematics is helpful.

Apple 广告
##### 声明：MOOC中国十分重视知识产权问题，我们发布之课程均源自下列机构，版权均归其所有，本站仅作报道收录并尊重其著作权益。感谢他们对MOOC事业做出的贡献！
• Coursera
• edX
• OpenLearning
• FutureLearn
• iversity
• Udacity
• NovoEd
• Canvas
• Open2Study
• Google
• ewant
• FUN
• IOC-Athlete-MOOC
• World-Science-U
• Codecademy
• CourseSites
• opencourseworld
• ShareCourse
• gacco
• MiriadaX
• JANUX
• openhpi
• Stanford-Open-Edx
• 网易云课堂
• 中国大学MOOC
• 学堂在线
• 顶你学堂
• 华文慕课
• 好大学在线CnMooc
• (部分课程由Coursera、Udemy、Linkshare共同提供)