To round out your R programming skills, you'll dive into its data science capabilities by loading and saving data and manipulating data frames using base R and the dplyr package. You'll also analyze data by exploring its underlying distribution and identifying missing values. Then, you'll visualize data by using base R and ggplot2 to plot that data in various ways. Lastly, you'll create statistical and machine learning models in R that can make predictions and other estimations about data.
R Programming: Data Analysis and Modeling
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R Programming: Data Analysis and Modeling
本课程是 R Programming for Data Science 专项课程 的一部分
位教师：Bill Rosenthal
包含在 中
您将学到什么
In this course, you'll manage, analyze, and visualize data in R; and create statistical and machine learning models from that data.
您将获得的技能
- Statistical Visualization
- Statistical Analysis
- Machine Learning Methods
- Statistical Machine Learning
- R Programming
- Software Development
- Decision Tree Learning
- R (Software)
- Data Structures
- Regression Analysis
- Data Science
- Data Analysis
- Computer Programming Tools
- Computer Programming
- Plot (Graphics)
- Machine Learning Algorithms
- Data Import/Export
- Statistical Modeling
- Data Visualization
- Machine Learning
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最近已更新！
January 2026
作业
1 项作业
授课语言：英语（English）
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本课程是 R Programming for Data Science 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。
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- 获得可共享的职业证书
该课程共有5个模块
Up until now, you've mostly been applying the fundamentals of R as a general programming language. But, as you know, data science is where R really shines. In this lesson, you'll begin using R in a more data-driven context, particularly by managing data in various ways. This data-driven approach will continue throughout the rest of the course as you work toward building statistical and machine learning models.
涵盖的内容
1篇阅读材料7个插件
Now that you've loaded and shaped your data, you can begin analyzing it in earnest. In this lesson, you'll use R to apply various techniques—both statistical and otherwise—that will reveal useful insights about your data.
涵盖的内容
5个插件
Data analysis is not just about looking at raw numbers or text. Transforming your data into graphs and plots can greatly enhance your ability to interpret the data, as well as present that data to an audience. In this lesson, you'll use R to analyze your data from a visual perspective in order to reveal insights that raw numbers alone may not provide.
涵盖的内容
6个插件
In many data science projects, the ultimate goal is to create a model of the data. The model can be used to estimate some aspect of the data and the larger domain that the data is about. It can even be used to make predictions from the data, which is particularly attractive to businesses. In this lesson you'll get a crash course on modeling data, as well as how to implement those concepts in R.
涵盖的内容
4个插件
You'll wrap things up and then validate what you've learned in this course by taking an assessment.
涵盖的内容
1篇阅读材料1个作业
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