Data Science at Scale - Capstone Project
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!
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة 6 ساعات hours
- الطبع بواسطة University of Washington
-
Offered by
عن
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.الوحدات
Week 1: Background and Preparation
-
2
Readings
-
1
Discussion
1
Discussions
- Milestone: Discuss the Problem and Approaches
2
Readings
- Get the Data
- Understand the Domain
Week 2 Milestone: Derive a list of buildings
-
1
Readings
-
1
PeerReview
1
Peer Review
- Reflecting on defining "buildings"
1
Readings
- Milestone: Create a list of "buildings" from a list of geo-located incidents
Week 3 Milestone: Construct a training dataset
-
1
Readings
-
1
PeerReview
1
Peer Review
- Reflecting on the labeling scheme
1
Readings
- Milestone: Derive labels for each building
Week 4 Milestone: Train and evaluate a simple model
-
1
Readings
-
1
PeerReview
1
Peer Review
- Reflecting on a trivial initial model
1
Readings
- Milestone: Train a Simple Model
Week 5 Milestone: Feature Engineering
-
1
Readings
-
1
PeerReview
1
Peer Review
- Reflection on your proposed features
1
Readings
- Milestone: Adding more features
Week 6: Final Report
-
1
PeerReview
1
Peer Review
- Final Report
Auto Summary
"Data Science at Scale - Capstone Project" is a foundational course in Big Data and Analytics, offered by Coursera. This immersive experience involves a real-world project where students apply the entire data science pipeline, from data preparation to model evaluation. Collaborating with Coursolve, learners work on projects with real stakeholders, navigating challenges and ambiguity to deliver impactful results. The course spans 360 hours and is available through Starter and Professional subscriptions, ideal for those aiming to deepen their practical data science skills.
Bill Howe