In the capstone, students will engage on a real world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Through a collaboration with Coursolve, each Capstone project is associated with partner stakeholders who have a vested interest in your results and are eager to deploy them in practice. These projects will not be straightforward and the outcome is not prescribed -- you will need to tolerate ambiguity and negative results! But we believe the experience will be rewarding and will better prepare you for data science projects in practice.
Data Science at Scale - Capstone Project
Data Science at Scale - Capstone Project
This course is part of Data Science at Scale Specialization
Instructor: Bill Howe
Sponsored by InternMart, Inc
2,588 already enrolled
Gain insight into a topic and learn the fundamentals.
3.8
(25 reviews)
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Data Science at Scale Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
In this project, you will build a model to predict when a building is likely to be condemned. The data is real, the problem is real, and the impact is real.
What's included
2 readings1 discussion prompt
You are given sets of incidents with location information; you need to use some assumptions to group these incidents by location to identify specific buildings.
What's included
1 reading1 peer review
Construct a training set by associating each of your buildings with a ground truth label derived from the permit data.
What's included
1 reading1 peer review
Use a trivial feature set to train and evaluate a simple model
What's included
1 reading1 peer review
Derive additional features and retrain to improve the efficacy of your model.
What's included
1 reading1 peer review
Enter your final report for grading.
What's included
1 peer review
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
3.8
25 reviews
- 5 stars
40%
- 4 stars
36%
- 3 stars
4%
- 2 stars
0%
- 1 star
20%
Showing 3 of 25
WE
4
Reviewed on Jan 1, 2017
An interesting problem to tackle. I really liked that you started with very raw data and needed to work on many cleaning methods. Good practice for real data science.
Recommended if you're interested in Data Science
SkillUp EdTech
Johns Hopkins University
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy