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.
提供方
约翰霍普金斯大学課程信息
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立即開始，按照自己的計劃學習。
完成時間大約為20 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 中文（簡體）, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將學到的內容有
Understand common data storage systems
Apply data cleaning basics to make data "tidy"
Use R for text and date manipulation
Obtain usable data from the web, APIs, and databases
您將獲得的技能
- Data Manipulation
- Regular Expression (REGEX)
- R Programming
- Data Cleansing
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
完成時間大約為20 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 中文（簡體）, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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.
授課大綱 - 您將從這門課程中學到什麼
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.
完成時間為 2 小時
9 個視頻 （總計 67 分鐘）, 4 個閱讀材料, 1 個測驗
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.
完成時間為 1 小時
5 個視頻 （總計 41 分鐘）
完成時間為 11 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.
完成時間為 11 小時
7 個視頻 （總計 60 分鐘）, 1 個閱讀材料, 4 個測驗
完成時間為 5 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.
完成時間為 5 小時
5 個視頻 （總計 34 分鐘）, 2 個閱讀材料, 3 個測驗
審閱
- 5 stars67.55%
- 4 stars23.66%
- 3 stars5.85%
- 2 stars1.60%
- 1 star1.31%
來自获取和整理数据的熱門評論
由 NA 提供2020年6月7日
A very useful course. The audio quality of some lectures (especially those by the main instructor) was not good. This course completes the sister course of R programming and they work together.
由 KS 提供2019年5月21日
I really liked this course and believe that my work, although seemingly noob-ish, will get much better as I see others works from the peer review and examples noted in the lessons.
由 WC 提供2016年10月31日
This course is amazing! I have spent the majority of my time in R merely doing analytics. This course taught me the tools needed to go out and grab the data that I need for those analytics.
由 JS 提供2016年5月4日
Actually, very interesting and helpful class. The one area around more complex structures (API, XML) warrants more attention, since I assume those are more dominant access methods.
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