In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
提供方
課程信息
對員工進行熱門技能培訓能否為您的公司帶來益處?
體驗 Coursera 企業版您將學到的內容有
Set up R, R-Studio, Github and other useful tools
Understand the data, problems, and tools that data analysts use
Explain essential study design concepts
Create a Github repository
您將獲得的技能
- Data Science
- Github
- R Programming
- Rstudio
對員工進行熱門技能培訓能否為您的公司帶來益處?
體驗 Coursera 企業版提供方
授課大綱 - 您將從這門課程中學到什麼
Data Science Fundamentals
R and RStudio
Version Control and GitHub
R Markdown, Scientific Thinking, and Big Data
審閱
- 5 stars69.45%
- 4 stars23.25%
- 3 stars5.27%
- 2 stars1.09%
- 1 star0.91%
突出顯示
來自数据科学家的工具箱(中文版)的熱門評論
A good basic class and collection of the tools. I wish there had been a little more explanation of what we would use the software for, but I found the lecture parts to be both concise and informative.
The course is great for beginners, especially with a focus on the fundamentals of data science and RStudio. It provides a great introduction to Git and Github, which makes it extremely informative.
It would be better if we can attempt the assignments even if we are not enrolled to the course. It would really help us to evaluate ourselves about the extent to which we have understood the concepts.
I really don't know much about this stuff, I think the jury's still out on whether the last four weeks will be helpful in the future. We'll see how much I think I've learned at the end of the course
常見問題
我什么时候能够访问课程视频和作业?
我订阅此专项课程后会得到什么?
有助学金吗?
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