Acerca de este Curso
4.1
21 calificaciones
5 revisiones
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....
Globe

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Clock

Approx. 10 hours to complete

Sugerido: 6 weeks of study, 3-4 hours/week...
Comment Dots

English

Subtítulos: English...

Habilidades que obtendrás

Python ProgrammingR ProgrammingData AnalysisData WranglingStatistics
Globe

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Clock

Approx. 10 hours to complete

Sugerido: 6 weeks of study, 3-4 hours/week...
Comment Dots

English

Subtítulos: English...

Programa - Qué aprenderás en este curso

Week
1
Clock
25 minutos para completar

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 readings
Reading2 lecturas
Get the Data10m
Understand the Domain10m
Week
2
Clock
2 horas para completar

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 reading, 1 quiz
Reading1 lectura
Milestone: Create a list of "buildings" from a list of geo-located incidents10m
Week
3
Clock
2 horas para completar

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 reading, 1 quiz
Reading1 lectura
Milestone: Derive labels for each building10m
Week
4
Clock
2 horas para completar

Week 4: Train and evaluate a simple model

Use a trivial feature set to train and evaluate a simple model...
Reading
1 reading, 1 quiz
Reading1 lectura
Milestone: Train a Simple Model10m

Instructor

Bill Howe

Director of Research
Scalable Data Analytics

Acerca de 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....

Acerca del programa especializado Data Science at Scale

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

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.