Data Science at Scale - Capstone Project
Key Takeaways
Applies data science skills to a real-world project involving data preparation, modeling, and evaluation through a collaboration with Coursolve
Original Description
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.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related AI Lessons
⚡
⚡
⚡
⚡
Taking a break helped me get back to my side project
Dev.to · Harsh
I Built 25 Free Historical Life Simulators. Here's What the Process Taught Me About Decision-Making.
Dev.to · Văn Tuấn Lê
Adding one field to Notion cost me 2.5 hours. The same change in Tana took 30 seconds.
Dev.to · 강해수
Why I Built be10x for the People Everyone Forgets: The Already-Busy Professional
Dev.to · Ankur
🎓
Tutor Explanation
DeepCamp AI