About this course: In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world. The development of such an application will involve: — transforming data provided by weather stations into meaningful information like, for instance, the average temperature of each point of the globe over the last ten years ; — then, making images from this information by using spatial and linear interpolation techniques ; — finally, implementing how the user interface will react to users’ actions.
Taught by: Dr. Julien Richard-Foy, Computer Scientist
Scala Center
| Basic Info | Course 5 of 5 in the Functional Programming in Scala Specialization |
| Commitment | 6 weeks, 4-5 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
- Video: Project overview
- Ungraded Programming: Scaffolding material
- Video: Project setup
- Reading: Data extraction
- Reading: Raw data visualization
- Reading: Milestone: interactive visualization in a Web app
- Reading: Data manipulation
- Reading: Value-added information visualization
- Reading: Interactive user interface
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Thanks
The tasks are very interesting! Unfortunately, sometimes the causes for the failure of the tests are not clear.
Nice course which cement your knowledge of scala in action!
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CH
Learn a lot about functional programming and spark, it inspires me how the data could be process in big data world.