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.
Este curso faz parte do Programa de cursos integrados Ciência de dados em larga escalaCiência de Dados em Larga Escala
oferecido por
Programa de cursos integrados Ciência de dados em larga escalaCiência de Dados em Larga EscalaUniversidade de WashingtonInformações sobre o curso
1,739 visualizações recentes
Resultados de carreira do aprendiz
67%
consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 11 horas para completar
Inglês
Legendas: Inglês
Habilidades que você terá
Python ProgrammingR ProgrammingData AnalysisData WranglingStatistics
Resultados de carreira do aprendiz
67%
consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 11 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade de 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.
Programa - O que você aprenderá com este curso
25 minutos para concluir
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.
25 minutos para concluir
2 leituras
2 leituras
Get the Data10min
Understand the Domain10min
2 horas para concluir
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.
2 horas para concluir
1 leitura
1 leituras
Milestone: Create a list of "buildings" from a list of geo-located incidents10min
2 horas para concluir
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.
2 horas para concluir
1 leitura
1 leituras
Milestone: Derive labels for each building10min
2 horas para concluir
Week 4: Train and evaluate a simple model
Use a trivial feature set to train and evaluate a simple model
2 horas para concluir
1 leitura
1 leituras
Milestone: Train a Simple Model10min
Avaliações
Principais avaliações do CIÊNCIA DE DADOS EM ESCALA - TRABALHO DE CONCLUSÃO DE CURSO
por WE1 de Jan de 2017
An interesting problem to tackle. I really liked that you started with very raw data and needed to work on many cleaning methods. Good practice for real data science.
Sobre Programa de cursos integrados Ciência de dados em larga escalaCiência de Dados em Larga Escala
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.
Perguntas Frequentes – FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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