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
751,949 次近期查看
學生職業成果
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
您將獲得的技能
Data ScienceGithubR ProgrammingRstudio
學生職業成果
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
100% 在線
立即開始，按照自己的計劃學習。
可靈活調整截止日期
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完成時間大約為9 小時
建議：1-4 hours/week
英語（English）
字幕：英語（English）, 韓語
教學大綱 - 您將從這門課程中學到什麼
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.
完成時間為 3 小時
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
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.
完成時間為 3 小時
5 個視頻 （總計 34 分鐘）
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
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.
完成時間為 2 小時
4 個視頻 （總計 28 分鐘）
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
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.
完成時間為 5 小時
4 個視頻 （總計 34 分鐘）
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
審閱
來自数据科学家的工具箱（中文版）的熱門評論
由 CC 提供Jun 10, 2016
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.
由 SR 提供Mar 14, 2017
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.
由 US 提供Oct 12, 2017
Great course for a beginner. But, since I knew most of the content from previous works, there was not much new learning for me. I am confident the later courses will enhance my knowledge a great deal.
由 LR 提供Sep 7, 2017
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.
由 GO 提供Jul 25, 2016
Consistent yet very basic course. I would only recommend this course if you are willing to complete the whole Data Science specialization or if you have troubles with the basic functioning of GitHub.
由 MW 提供Sep 10, 2019
Very clear and concise and is very easy to follow for those who aren't very experienced with setting up a dev environment or git. A little on the easy side but I'm sure more challenges are to follow!
由 AM 提供Jul 21, 2017
Great Primer for what Data Science is about. It also provides the infrastructure of tools needed. This was what I was after, a way to provide other data scientist hardware and infrastructure support.
由 AK 提供Jul 13, 2016
It's a very introductory course and in a sense I don't feel like I learnt something useful, except the part that shows how to install all the tools that are needed for the rest of the Specialization.
提供方
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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