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
约翰霍普金斯大学
課程信息
385,985 次近期查看
Learner Career Outcomes
39%
完成這些課程後已開始新的職業生涯
35%
通過此課程獲得實實在在的工作福利
您將學到的內容有
Create a Github repository
Explain essential study design concepts
Set up R, R-Studio, Github and other useful tools
Understand the data, problems, and tools that data analysts work with
您將獲得的技能
Data ScienceGithubR ProgrammingRstudio
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 3 小時
Data Science Fundamentals
In this module, we'll introduce and define data science and data itself. We'll also go over some of the resources that data scientists use to get help when they're stuck.
5 個視頻 （總計 40 分鐘）, 2 個閱讀材料, 5 個測驗
5 個視頻
What is Data Science?9分鐘
What is Data?6分鐘
Getting Help10分鐘
The Data Science Process9分鐘
2 個閱讀材料
Welcome5分鐘
A Note of Explanation2分鐘
5 個練習
What is Data Science?6分鐘
What is Data?6分鐘
Getting Help Quiz6分鐘
Data Science Process8分鐘
Module One Summative Quiz30分鐘
週
2完成時間為 3 小時
R and RStudio
In this module, we'll help you get up and running with both R and RStudio. Along the way, you'll learn some basics about both and why data scientists use them.
5 個視頻 （總計 34 分鐘）, 6 個測驗
6 個練習
Installing R8分鐘
Installing R Studio4分鐘
RStudio Tour8分鐘
R Packages10分鐘
Projects in R6分鐘
Module Two Summative Quiz30分鐘
週
3完成時間為 2 小時
Version Control and GitHub
During this module, you'll learn about version control and why it's so important to data scientists. You'll also learn how to use Git and GitHub to manage version control in data science projects.
4 個視頻 （總計 28 分鐘）, 5 個測驗
4 個視頻
Version Control11分鐘
Github and Git8分鐘
Linking Github and R Studio4分鐘
Projects under Version Control4分鐘
5 個練習
Version Control6分鐘
GitHub and Git10分鐘
Linking Git/GitHub and RStudio6分鐘
Projects under Version Control8分鐘
Module Three Summative Quiz30分鐘
週
4完成時間為 5 小時
R Markdown, Scientific Thinking, and Big Data
During this final module, you'll learn to use R Markdown and get an introduction to three concepts that are incredibly important to every successful data scientist: asking good questions, experimental design, and big data.
4 個視頻 （總計 34 分鐘）, 6 個測驗
5 個練習
R Markdown10分鐘
Types of Data Science Questions6分鐘
Experimental Design14分鐘
Big Data6分鐘
Module Four Summative Quiz30分鐘
4.5
4227 條評論來自数据科学家的工具箱（中文版）的熱門評論
突出顯示
Foundational tools
(243)Introductory course
(1056)It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.
講師
Jeff Leek, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brian Caffo, PhD
Professor, BiostatisticsBloomberg School of Public Health
關於 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.
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