In the capstone, students will engage on a real world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Through a collaboration with Coursolve, each Capstone project is associated with partner stakeholders who have a vested interest in your results and are eager to deploy them in practice. These projects will not be straightforward and the outcome is not prescribed -- you will need to tolerate ambiguity and negative results! But we believe the experience will be rewarding and will better prepare you for data science projects in practice.
提供方
教學大綱 - 您將從這門課程中學到什麼
週
1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.
2 個閱讀材料
2 個閱讀材料
Get the Data10分鐘
Understand the Domain10分鐘
週
2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.
1 個閱讀材料, 1 個測驗
1 個閱讀材料
Milestone: Create a list of "buildings" from a list of geo-located incidents10分鐘
週
3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.
1 個閱讀材料, 1 個測驗
1 個閱讀材料
Milestone: Derive labels for each building10分鐘
週
4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
1 個閱讀材料, 1 個測驗
1 個閱讀材料
Milestone: Train a Simple Model10分鐘
講師
Bill Howe
Director of ResearchScalable Data Analytics
關於 华盛顿大学
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 大规模数据科学 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.
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