課程信息
4.5
17,039 個評分
3,500 個審閱
專項課程

Course 1 of 10 in the

100% 在線

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

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為8 小時

建議:1-4 hours/week...
可選語言

英語(English)

字幕:英語(English), 法語(French), 中文(簡體), 希臘語, 意大利語, 巴西葡萄牙語, 越南語, 俄語(Russian), 土耳其語(Turkish), 希伯來語, 日語...

您將學到的內容有

  • Check

    Create a Github repository

  • Check

    Explain essential study design concepts

  • Check

    Set up R, R-Studio, Github and other useful tools

  • Check

    Understand the data, problems, and tools that data analysts work with

您將獲得的技能

Data ScienceGithubR ProgrammingRstudio
專項課程

Course 1 of 10 in the

100% 在線

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

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為8 小時

建議:1-4 hours/week...
可選語言

英語(English)

字幕:英語(English), 法語(French), 中文(簡體), 希臘語, 意大利語, 巴西葡萄牙語, 越南語, 俄語(Russian), 土耳其語(Turkish), 希伯來語, 日語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 2 小時

Week 1

During Week 1, you'll learn about the goals and objectives of the Data Science Specialization and each of its components. You'll also get an overview of the field as well as instructions on how to install R....
Reading
16 個視頻 (總計 51 分鐘), 5 個閱讀材料, 1 個測驗
Video16 個視頻
The Data Scientist's Toolbox5分鐘
Getting Help8分鐘
Finding Answers4分鐘
R Programming Overview2分鐘
Getting Data Overview1分鐘
Exploratory Data Analysis Overview1分鐘
Reproducible Research Overview1分鐘
Statistical Inference Overview1分鐘
Regression Models Overview1分鐘
Practical Machine Learning Overview1分鐘
Building Data Products Overview1分鐘
Installing R on Windows {Roger Peng}3分鐘
Install R on a Mac {Roger Peng}2分鐘
Installing Rstudio {Roger Peng}1分鐘
Installing Outside Software on Mac (OS X Mavericks)1分鐘
Reading5 個閱讀材料
Welcome to the Data Scientist's Toolbox10分鐘
Pre-Course Survey10分鐘
Syllabus10分鐘
Specialization Textbooks10分鐘
The Elements of Data Analytic Style10分鐘
Quiz1 個練習
Week 1 Quiz10分鐘
2
完成時間(小時)
完成時間為 1 小時

Week 2: Installing the Toolbox

This is the most lecture-intensive week of the course. The primary goal is to get you set up with R, Rstudio, Github, and the other tools we will use throughout the Data Science Specialization and your ongoing work as a data scientist. ...
Reading
9 個視頻 (總計 51 分鐘), 1 個測驗
Video9 個視頻
Command Line Interface16分鐘
Introduction to Git4分鐘
Introduction to Github3分鐘
Creating a Github Repository5分鐘
Basic Git Commands5分鐘
Basic Markdown2分鐘
Installing R Packages5分鐘
Installing Rtools2分鐘
Quiz1 個練習
Week 2 Quiz10分鐘
3
完成時間(小時)
完成時間為 1 小時

Week 3: Conceptual Issues

The Week 3 lectures focus on conceptual issues behind study design and turning data into knowledge. If you have trouble or want to explore issues in more depth, please seek out answers on the forums. They are a great resource! If you happen to be a superstar who already gets it, please take the time to help your classmates by answering their questions as well. This is one of the best ways to practice using and explaining your skills to others. These are two of the key characteristics of excellent data scientists. ...
Reading
4 個視頻 (總計 35 分鐘), 1 個測驗
Video4 個視頻
What is Data?5分鐘
What About Big Data?4分鐘
Experimental Design15分鐘
Quiz1 個練習
Week 3 Quiz10分鐘
4
完成時間(小時)
完成時間為 2 小時

Week 4: Course Project Submission & Evaluation

In Week 4, we'll focus on the Course Project. This is your opportunity to install the tools and set up the accounts that you'll need for the rest of the specialization and for work in data science....
Reading
1 個閱讀材料, 1 個測驗
Reading1 個閱讀材料
Post-Course Survey10分鐘
4.5
3,500 個審閱Chevron Right
職業方向

36%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利

熱門審閱

突出顯示
Foundational tools
(243)
Introductory course
(1056)
創建者 LRSep 8th 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.

創建者 AIApr 24th 2018

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

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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

關於 Johns Hopkins University

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....

關於 Data Science 專項課程

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material....
Data Science

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