When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Data Visualization and Transformation with R

Data Visualization and Transformation with R

本课程是 Data Science with R 专项课程的一部分

位教师：Mine Çetinkaya-Rundel

2,378 人已注册

包含在中

了解更多

3个模块

深入了解一个主题并学习基础知识。

26 条评论

初级等级

无需具备相关经验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

26 条评论

初级等级

无需具备相关经验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Transform, visualize, summarize, and analyze data in R, with packages from the Tidyverse, using RStudio
Carry out analyses in a reproducible and shareable manner with Quarto
Learn to effectively communicate results through an optional written project version controlled with Git and hosted on GitHub

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

3 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Data Science with R 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有3个模块

Learn the foundations of data science by exploring, transforming, and visualizing data with R. In this course, you’ll develop core skills in exploratory data analysis and statistical thinking including: using visualizations to uncover patterns, identifying trends, and generating insights.

You’ll gain hands-on experience with Tidyverse packages in R, work in RStudio, and create reproducible reports with Quarto. Along the way, you’ll also learn version control practices with Git and GitHub to document and share your work. By the end of this course, you’ll be able to transform and summarize data, craft clear and informative graphics, and communicate your findings through professional, reproducible workflows - laying the groundwork for all your future data science projects.

单元详情

Hello World! In the first module, you will learn about what data science is and how data science techniques are used to make meaning from data and inform data-driven decisions. There is also discussion around the importance of reproducibility in science and the techniques used to achieve this. Next, you will learn the technology languages of R, RStudio, Quarto, and GitHub, as well as their role in data science and reproducibility.

涵盖的内容

4个视频11篇阅读材料1个作业2个讨论话题1个插件

4个视频总计44分钟

Welcome6分钟
Code along :: My first data visualization - UN Votes10分钟
Meet the toolkit: R + RStudio13分钟
Meet the toolkit: Quarto16分钟

11篇阅读材料总计105分钟

Course Overview10分钟
Meet Your Instructors10分钟
IMS :: Chapter 1 - Hello data10分钟
Discussion Guidelines10分钟
Report a problem with the course5分钟
Get Ready to Compute with R and RStudio!10分钟
Code along :: My first data visualization - UN Votes - Companion10分钟
Code along :: My first data visualization - UN Votes - Companion (Complete)10分钟
R4DS :: Chp 2 - Introduction10分钟
R4DS :: Chp 28.1-28.5 - Quarto10分钟
IMS :: Chapter 3 - Applications: Data 10分钟

1个作业总计20分钟

Welcome to Data Science Quiz20分钟

2个讨论话题总计20分钟

Course Introductions10分钟
Meet the toolkit: Programming exercises (Optional Reflection)10分钟

1个插件总计15分钟

Meet the toolkit: Programming exercises15分钟

In our second module, we'll advance our understanding of R to set the stage for creating data visualizations using tidyverse’s data visualization package: ggplot2. We'll learn all about different data types and the appropriate data visualization techniques that can be used to plot these data. The majority of this module is to help best understand ggplot2 syntax and how it relates to the Grammar of Graphics. By the end of this module, you will have started building up the foundation of your statistical tool-kit needed to create basic data visualizations in R.

涵盖的内容

4个视频5篇阅读材料1个作业1个讨论话题1个插件

4个视频总计45分钟

Visualizing data10分钟
Building a plot step-by-step with ggplot28分钟
Code along :: First look at Palmer Penguins21分钟
Grammar of graphics7分钟

5篇阅读材料总计50分钟

R4DS :: Chp 1 - Data visualization - Sections 1.1 - 1.410分钟
Code along :: First look at Palmer Penguins - Companion10分钟
Code along :: First look at Palmer Penguins - Companion (Complete)10分钟
R4DS :: Chp 1 - Data visualization - Sections 1.5 - 1.810分钟
R4DS :: Chp 2 - Workflow: basics10分钟

1个作业总计60分钟

Data and Visualization Quiz60分钟

1个讨论话题总计10分钟

Bechdel + data visualization (Optional Reflection)10分钟

1个插件总计15分钟

Bechdel + data visualization15分钟

In this module, we will take a step back and learn about tools for transforming data that might not yet be ready for visualization as well as for summarizing data with tidyverse’s data wrangling package: dplyr. In addition to describing distributions of single variables, you will also learn to explore relationships between two or more variables. Finally, you will continue to hone your data visualization skills with plots for various data types.