Data Science at Scale – Capstone Project

Course Link: https://www.coursera.org/learn/datasci-capstone

Data Science at Scale – Capstone Project
In this capstone project course, you will apply the knowledge you’ve acquired in these courses to build a practical machine learning model. You will need to know:

*Capstone Project Structure: weeks 1-3 are the “Introduction” phase, which means you need to understand the material you’ve learned in each of the three courses.

*Capstone Project Format: week 3 are the “Extensive” and “Confidential” phases, which means you want to experiment and work together with other learners to get the best possible experience.

*Course Format: The course will run for 4 weeks and feature 4 major modules. Each week there will be 4-5 video lectures with multiple-choice questions and a small quiz. There will be multiple assignments and quizzes throughout the course, but they will not be graded.

*Capstone Project Scope: The scope of the capstone project should not exceed your own personal goals, including but not limited to:

1. Design a machine learning model to process data from a large number of sources (layers, layersets, images, machine learning models)
2. Build a working example of the model

3. Evaluate whether the model performs as expected

4. Test the model performance against different data types

5. Build a model to run on your own data

6. Evaluate the model performance against a real dataset

7. Build a model to run on your own data

8. Evaluate a real-world problem

9. Build a machine learning model to solve a real problem

10. Build a model to run on your own data

11. Evaluate a problem using a data set

12. Evaluate a problem using a model

13. Build a model to solve a real problem

14. Build a model to solve a real problem

15. Run your model through a real dataset

16. See what happens when you run your model through your model

17. Explain the model’s performance

18. Build a model to solve a real problem

19. Support your model with data analysis

20. Support your model with model training

21. Support your model with data validation

22. Support your model with service learning

23. Support your model with optimization

24. Support your model with machine learning

Time: 10 hours of study, 4 weeks of active learning

Total Investment: $20

Link: https://www.coursera.org/learn/capstone-project-strategy/home/welcome

To join: Email an instructor an email with your name and the subject line “Open Capstone for Individual Learner” and the term “Open up a Capstone Project for Individual Learner”

To request a refund

Course Link: https://www.coursera.org/learn/datasci-capstone