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.
Este curso forma parte de Programa Especializado - Ciencia de Datos
Data Science Capstone
ofrecido por
Acerca de este Curso
40,813 vistas recientes
Qué aprenderás
Apply your exploratory data analysis skills
Build an efficient and accurate prediction model
Create a useful data product for the public
Produce a presentation deck to showcase your findings
Habilidades que obtendrás
Data ScienceMachine LearningR ProgrammingNatural Language Processing
Programa - Qué aprenderás en este curso
Semana
11 hora 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.
7 videos (Total 20 minutos), 5 readings, 1 quiz
7 videos
Introduction to Task 0: Understanding the Problem1m
Introduction to Task 1: Getting and Cleaning the Data1m
Regular Expressions: Part 1 (Optional)5m
Regular Expressions: Part 2 (Optional)8m
5 lecturas
Project Overview10m
Syllabus10m
Task 0 - Understanding the problem10m
About the Copora10m
Task 1 - Getting and cleaning the data10m
1 ejercicio de práctica
Quiz 1: Getting Started12m
Semana
22 horas 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.
2 videos (Total 3 minutos), 2 readings, 1 quiz
2 lecturas
Task 2 - Exploratory Data Analysis10m
Task 3 - Modeling10m
Semana
31 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 video (Total 1 minutos), 1 reading, 1 quiz
1 lectura
Task 4 - Prediction Model10m
1 ejercicio de práctica
Quiz 2: Natural language processing I20m
Semana
41 hora para completar
Creative Exploration
This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
1 video (Total 1 minutos), 1 reading, 1 quiz
1 lectura
Task 5 - Creative Exploration10m
1 ejercicio de práctica
Quiz 3: Natural language processing II20m
33%
comenzó una nueva carrera después de completar estos cursos
39%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
18%
consiguió un aumento de sueldo o ascenso
Principales revisiones sobre Data Science Capstone
Capstone did provide a true test of Data Analytics skills. Its like a being left alone in a jungle to survive for a month. Either you succumb to nature or come out alive with a smile and confidence.
Wow i finally managed to finish the specialization!! definitely learned a lot and also found out difficulties in building predictors by trying to balancing speed, accuracy and memory constraints!!!
Instructores
Jeff Leek, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brian Caffo, PhD
Professor, BiostatisticsBloomberg School of Public Health
Acerca de 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.
Acerca de Programa especializado Ciencia de Datos
Ask the right questions, manipulate data sets, and create visualizations to communicate results.
This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
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.
¿Qué recibiré si me suscribo a este Programa especializado?
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.
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