課程信息
4.6
5,163 ratings
826 reviews
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data....
Stacks

Course 3 of 10 in the

Globe

100% 在線課程

立即開始,按照自己的計劃學習。
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建議:5 hours/week

完成時間大約為14 小時
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English

字幕:English, French, Chinese (Simplified), Vietnamese, Russian

您將學到的內容有

  • Check
    Apply data cleaning basics to make data "tidy"
  • Check
    Obtain usable data from the web, APIs, and databases
  • Check
    Understand common data storage systems
  • Check
    Use R for text and date manipulation

您將獲得的技能

Data ManipulationRegular Expression (REGEX)R ProgrammingData Cleansing
Stacks

Course 3 of 10 in the

Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Clock

建議:5 hours/week

完成時間大約為14 小時
Comment Dots

English

字幕:English, French, Chinese (Simplified), Vietnamese, Russian

教學大綱 - 您將從這門課程中學到什麼

1

章節
Clock
完成時間為 2 小時

Week 1

In this first week of the course, we look at finding data and reading different file types....
Reading
9 個視頻(共 67 分鐘), 4 個閱讀材料, 1 個測驗
Video9 個視頻
Raw and Processed Data7分鐘
Components of Tidy Data9分鐘
Downloading Files7分鐘
Reading Local Files4分鐘
Reading Excel Files3分鐘
Reading XML12分鐘
Reading JSON5分鐘
The data.table Package11分鐘
Reading4 個閱讀材料
Welcome to Week 110分鐘
Syllabus10分鐘
Pre-Course Survey10分鐘
Practical R Exercises in swirl Part 110分鐘
Quiz1 個練習
Week 1 Quiz10分鐘

2

章節
Clock
完成時間為 1 小時

Week 2

Welcome to Week 2 of Getting and Cleaning Data! The primary goal is to introduce you to the most common data storage systems and the appropriate tools to extract data from web or from databases like MySQL. ...
Reading
5 個視頻(共 41 分鐘), 1 個測驗
Video5 個視頻
Reading from HDF56分鐘
Reading from The Web6分鐘
Reading From APIs7分鐘
Reading From Other Sources4分鐘
Quiz1 個練習
Week 2 Quiz10分鐘

3

章節
Clock
完成時間為 10 小時

Week 3

Welcome to Week 3 of Getting and Cleaning Data! This week the lectures will focus on organizing, merging and managing the data you have collected using the lectures from Weeks 1 and 2. ...
Reading
7 個視頻(共 60 分鐘), 1 個閱讀材料, 4 個測驗
Video7 個視頻
Summarizing Data11分鐘
Creating New Variables10分鐘
Reshaping Data9分鐘
Managing Data Frames with dplyr - Introduction3分鐘
Managing Data Frames with dplyr - Basic Tools12分鐘
Merging Data6分鐘
Reading1 個閱讀材料
Practical R Exercises in swirl Part 210分鐘
Quiz1 個練習
Week 3 Quiz10分鐘

4

章節
Clock
完成時間為 6 小時

Week 4

Welcome to Week 4 of Getting and Cleaning Data! This week we finish up with lectures on text and date manipulation in R. In this final week we will also focus on peer grading of Course Projects. ...
Reading
5 個視頻(共 34 分鐘), 2 個閱讀材料, 3 個測驗
Video5 個視頻
Regular Expressions I5分鐘
Regular Expressions II8分鐘
Working with Dates6分鐘
Data Resources3分鐘
Reading2 個閱讀材料
Practical R Exercises in swirl Part 410分鐘
Post-Course Survey10分鐘
Quiz1 個練習
Week 4 Quiz10分鐘
4.6
Direction Signs

40%

完成這些課程後已開始新的職業生涯
Briefcase

83%

通過此課程獲得實實在在的工作福利

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創建者 BEOct 26th 2016

This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.

創建者 ARMay 14th 2018

Loved the structure of the course. Learned a lot. The course project seemed a little funky , especially creating the codebook for an already existing set of data but was a useful teaching aid.

講師

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

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

常見問題

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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