À propos de ce cours : 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.
Créé par : Université Johns-Hopkins
Enseigné par : Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public HealthEnseigné par : Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public HealthEnseigné par : Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
| Informations de base | Cours 10 de 10 dans Data Science Specialization |
| Engagement | 4-9 hours/week |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 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 vidéos, 5 lectures
- Reading: Project Overview
- Vidéo: Welcome from SwiftKey
- Vidéo: You Are a Data Scientist Now
- Reading: Syllabus
- Vidéo: Introduction to Task 0: Understanding the Problem
- Reading: Task 0 - Understanding the problem
- Reading: About the Copora
- Vidéo: Introduction to Task 1: Getting and Cleaning the Data
- Reading: Task 1 - Getting and cleaning the data
- Vidéo: Regular Expressions: Part 1 (Optional)
- Vidéo: Regular Expressions: Part 2 (Optional)
Noté: Quiz 1: Getting Started
SEMAINE 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 vidéos, 2 lectures
- Reading: Task 2 - Exploratory Data Analysis
- Vidéo: Introduction to Task 3: Modeling
- Reading: Task 3 - Modeling
Noté: Milestone Report
SEMAINE 3
Prediction Model
This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
1 vidéo, 1 lecture
- Reading: Task 4 - Prediction Model
Noté: Quiz 2: Natural language processing I
SEMAINE 4
Creative Exploration
This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
1 vidéo, 1 lecture
- Reading: Task 5 - Creative Exploration
Noté: Quiz 3: Natural language processing II
SEMAINE 5
Data Product
This week, you'll work on developing the first component of your final project, your data product.
1 vidéo, 1 lecture
- Reading: Task 6 - Data Product
SEMAINE 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 vidéo, 1 lecture
- Reading: Task 7 - Slide Deck
SEMAINE 7
Final Project Submission and Evaluation
This week, you'll submit your final project and review the work of your classmates.
1 vidéo
Noté: Final Project Submission
FAQ
Comment cela fonctionne
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.
Créateurs
Université 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.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
Excellent challenge to show the skills learned.
Great project.
Hands on experience with NLP
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JD
It was a new world for me. To hard trying to dive in the subject. But the bases and the effort to research in literature and in the foros let me develop a model of a beginner but with great knowledge to apply in new developments in my work.