課程信息
4.1
21 個評分
5 個審閱
專項課程

第 4 門課程(共 4 門),位於

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100% online

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11 小時

建議:6 weeks of study, 3-4 hours/week...
可選語言

英語(English)

字幕:英語(English)...

您將獲得的技能

Python ProgrammingR ProgrammingData AnalysisData WranglingStatistics
專項課程

第 4 門課程(共 4 門),位於

100% online

100% online

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11 小時

建議:6 weeks of study, 3-4 hours/week...
可選語言

英語(English)

字幕:英語(English)...

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 25 分鐘

Project A: Blight Fight

In this project, you will build a model to predict when a building is likely to be condemned. The data is real, the problem is real, and the impact is real. ...
Reading
2 個閱讀材料
Reading2 個閱讀材料
Get the Data10分鐘
Understand the Domain10分鐘
2
完成時間(小時)
完成時間為 2 小時

Week 2: Derive a list of buildings

You are given sets of incidents with location information; you need to use some assumptions to group these incidents by location to identify specific buildings....
Reading
1 個閱讀材料, 1 個測驗
Reading1 個閱讀材料
Milestone: Create a list of "buildings" from a list of geo-located incidents10分鐘
3
完成時間(小時)
完成時間為 2 小時

Week 3: Construct a training dataset

Construct a training set by associating each of your buildings with a ground truth label derived from the permit data....
Reading
1 個閱讀材料, 1 個測驗
Reading1 個閱讀材料
Milestone: Derive labels for each building10分鐘
4
完成時間(小時)
完成時間為 2 小時

Week 4: Train and evaluate a simple model

Use a trivial feature set to train and evaluate a simple model...
Reading
1 個閱讀材料, 1 個測驗
Reading1 個閱讀材料
Milestone: Train a Simple Model10分鐘

講師

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Bill Howe

Director of Research
Scalable Data Analytics

關於 University of Washington

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world....

關於 Data Science at Scale 專項課程

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project....
Data Science at Scale

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