Online Course
Data Science Capstone
Johns Hopkins University via Coursera
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60
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Overview
Class Central Tips
Syllabus
-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
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Reviews
3.0 rating, based on 4 reviews
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Dwayne D completed this course.
The positive: Completion of this project requires most of the skills you will have learned in completing the prequisite courses. The negative: If you're "like me" (inexperienced with NLP), you should start reading up on the basics (enough to know the... -
Anonymous is taking this course right now.
So disappointing, it feels somewhat unrelated to the material covered in the 9 courses in the Data Science Specialization, so I didn't feel adequately prepared for tackling the Capstone even though I carefully completed all pre-req courses. Also, the level of complexity of the problem (ie having to read multiple academic papers on NLP and computational linguistics) is not appropriate for a course that should be focused on teaching general, practical, applicable data science skills. -
Colin Khein completed this course.
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Mark Henry Butler completed this course.