Acerca de este curso: 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.
Creada por: Johns Hopkins University
Enseñado por: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Enseñado por: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Enseñado por: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
| Información básica | Curso 10 de 10 en Data Science Specialization |
| Compromiso | 4-9 hours/week |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
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, 5 lecturas
- Reading: Project Overview
- Vídeo: Welcome from SwiftKey
- Vídeo: You Are a Data Scientist Now
- Reading: Syllabus
- Vídeo: Introduction to Task 0: Understanding the Problem
- Reading: Task 0 - Understanding the problem
- Reading: About the Copora
- Vídeo: Introduction to Task 1: Getting and Cleaning the Data
- Reading: Task 1 - Getting and cleaning the data
- Vídeo: Regular Expressions: Part 1 (Optional)
- Vídeo: Regular Expressions: Part 2 (Optional)
Calificado: Quiz 1: Getting Started
SEMANA 2
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, 2 lecturas
- Reading: Task 2 - Exploratory Data Analysis
- Vídeo: Introduction to Task 3: Modeling
- Reading: Task 3 - Modeling
Calificado: Milestone Report
SEMANA 3
Prediction Model
This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
1 video, 1 lectura
- Reading: Task 4 - Prediction Model
Calificado: Quiz 2: Natural language processing I
SEMANA 4
Creative Exploration
This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
1 video, 1 lectura
- Reading: Task 5 - Creative Exploration
Calificado: Quiz 3: Natural language processing II
SEMANA 5
Data Product
This week, you'll work on developing the first component of your final project, your data product.
1 video, 1 lectura
- Reading: Task 6 - Data Product
SEMANA 6
Slide Deck
This week, you'll work on developing the second component of your final project, a slide deck to accompany your data product.
1 video, 1 lectura
- Reading: Task 7 - Slide Deck
SEMANA 7
Final Project Submission and Evaluation
This week, you'll submit your final project and review the work of your classmates.
1 video
Calificado: Final Project Submission
Preguntas Frecuentes
Cómo funciona
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
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Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creadores
Johns Hopkins University
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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
Everything I expected from a final project: challenging, interesting, well organized. I loved it!
The Capstone Project was very informative
E
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RC
I wish that either there were a choice of capstone projects, or that there were a more numerical component to the analysis than such a pure text based assignment.