Data Science Capstone
Offered By: Johns Hopkins University via Coursera
Course Description
Overview
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.
Syllabus
- 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.
- 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.
- Prediction Model
- This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
- Creative Exploration
- This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
- Data Product
- This week, you'll work on developing the first component of your final project, your data product.
- Slide Deck
- This week, you'll work on developing the second component of your final project, a slide deck to accompany your data product.
- Final Project Submission and Evaluation
- This week, you'll submit your final project and review the work of your classmates.
Taught by
Jeff Leek, Roger Peng and Brian Caffo
Tags
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