The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.
ofrecido por
Universidad Johns HopkinsAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Qué aprenderás
Create a useful data product for the public
Apply your exploratory data analysis skills
Build an efficient and accurate prediction model
Produce a presentation deck to showcase your findings
Habilidades que obtendrás
- Data Science
- Machine Learning
- R Programming
- Natural Language Processing
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Aprox. 6 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad Johns Hopkins
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.
Programa - Qué aprenderás en este curso
2 horas para completar
Overview, Understanding the Problem, and Getting the Data
This week, we introduce the project so you can get a clear grip on the problem at hand and begin working with the dataset.
2 horas para completar
7 videos (Total 20 minutos), 6 lecturas, 1 cuestionario
1 hora para completar
Exploratory Data Analysis and Modeling
This week, we move on to the next tasks, exploratory data analysis and modeling. You'll also submit your milestone report and review submissions from your classmates.
1 hora para completar
2 videos (Total 3 minutos), 2 lecturas, 1 cuestionario
1 hora para completar
Prediction Model
This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
1 hora para completar
1 video (Total 1 minutos), 1 lectura, 1 cuestionario
1 hora para completar
Creative Exploration
This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
1 hora para completar
1 video (Total 1 minutos), 1 lectura, 1 cuestionario
Reseñas
- 5 stars69,46 %
- 4 stars20,82 %
- 3 stars5,22 %
- 2 stars2,40 %
- 1 star2,07 %
Principales reseñas sobre PROYECTO FINAL DE CIENCIA DE LOS DATOS
por BH15 de ene. de 2020
Great finish to an excellent specialisation. It's actually opened up some excellent career options for me and I am very grateful to the instructions and Coursera for providing the platform.
por JP11 de oct. de 2016
This class was a huge challenge for me, but it pushed me to learn a whole lot and practice many of the skills that I had learned in previous courses! I had a lot of fun, too. Thanks!
por RD20 de jun. de 2017
This course was very challenging. It resembled a real world task, where an idea is presented and it is up to the user to research methods and processes for the best outcome.
por JL28 de abr. de 2017
Great course, nice introduction to shiny and GoogleVis. Looking forward to the tenth class. thanks for pulling this material together, and all the mentors help!.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
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