Data Science Capstone
- Product type
Data Science Capstone
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Description
When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan .
- Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
- Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.
About this course: 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.
Created by: Johns Hopkins University-
Taught by: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health -
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health -
Taught by: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
Frequently asked questions
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan .
- Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
- Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.
About this course: 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.
Created by: Johns Hopkins University-
Taught by: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health -
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health -
Taught by: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.
Aide de la part de vos pairsConnectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.
CertificatsObtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.
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.Syllabus
WEEK 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 readings expand
- Video: Welcome to the Capstone Project
- Lecture: Project Overview
- Video: Welcome from SwiftKey
- Video: You Are a Data Scientist Now
- Lecture: Syllabus
- Video: Introduction to Task 0: Understanding the Problem
- Lecture: Task 0 - Understanding the problem
- Lecture: About the Copora
- Video: Introduction to Task 1: Getting and Cleaning the Data
- Lecture: Task 1 - Getting and cleaning the data
- Video: Regular Expressions: Part 1 (Optional)
- Video: Regular Expressions: Part 2 (Optional)
Graded: Quiz 1: Getting Started
WEEK 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 readings expand
- Video: Introduction to Task 2: Exploratory Data Analysis
- Lecture: Task 2 - Exploratory Data Analysis
- Video: Introduction to Task 3: Modeling
- Lecture: Task 3 - Modeling
Graded: Milestone Report
WEEK 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 reading expand
- Video: Introduction to Task 4: Prediction Model
- Lecture: Task 4 - Prediction Model
Graded: Quiz 2: Natural language processing I
WEEK 4
Creative Exploration
This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
1 video, 1 reading expand
- Video: Introduction to Task 5: Creative Exploration
- Lecture: Task 5 - Creative Exploration
Graded: Quiz 3: Natural language processing II
WEEK 5
Data Product
This week, you'll work on developing the first component of your final project, your data product.
1 video, 1 reading expand
- Video: Introduction to Task 6: Data Product
- Lecture: Task 6 - Data Product
WEEK 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 reading expand
- Video: Introduction to Task 7: Slide Deck
- Lecture: Task 7 - Slide Deck
WEEK 7
Final Project Submission and Evaluation
This week, you'll submit your final project and review the work of your classmates.
1 video expand
- Video: Congratulations!
Graded: Final Project Submission
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