Build a data-intensive application that processes gigabytes of weather data to create interactive visualizations of global temperature evolution over time.
Build a data-intensive application that processes gigabytes of weather data to create interactive visualizations of global temperature evolution over time.
In this capstone project, you will apply advanced functional programming skills in Scala to build a large data-intensive application using real-world weather data. The course challenges you to implement a complete application that processes several gigabytes of data to create interactive visualizations showing the evolution of temperatures over time across the globe. The development process is divided into distinct modules that guide you through transforming raw weather station data into meaningful information, such as calculating average temperatures for different locations over extended periods. You'll learn to generate visual representations using spatial and linear interpolation techniques, including bilinear interpolation for creating more accurate imagery. The project culminates in implementing an interactive user interface that responds dynamically to user actions, allowing for exploration of temperature trends and deviations from normal patterns. This hands-on project integrates all the functional programming concepts learned throughout the specialization into a real-world application with practical utility.
4.4
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English
22 languages available
What you'll learn
Transform raw weather station data into meaningful temperature information
Process gigabytes of data using functional programming techniques in Scala
Implement spatial and linear interpolation methods for data visualization
Generate images compatible with web-based mapping libraries
Compute and visualize temperature deviations compared to normal patterns
Create interactive visualizations that respond to user actions
Skills you'll gain
This course includes:
0.05 Hours PreRecorded video
2 programming assignments
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FullTime access
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There are 6 modules in this course
This capstone project represents the culmination of the Functional Programming in Scala specialization, where students apply all previously learned concepts to build a substantial data-intensive application. The project involves processing gigabytes of weather station data to create interactive visualizations of global temperature patterns over time. Students work through sequential modules that cover data extraction and transformation, visualization techniques including various interpolation methods, interactive web mapping, data manipulation for temperature deviation analysis, and implementing responsive user interfaces. The course emphasizes practical application of functional programming principles to solve real-world big data problems, requiring students to handle large datasets efficiently while creating meaningful visual representations that effectively communicate temperature trends and patterns to users.
Project overview
Module 1 · 10 Hours to complete
Raw data display
Module 2 · 5 Hours to complete
Interactive visualization
Module 3 · 5 Hours to complete
Data manipulation
Module 4 · 4 Hours to complete
Value-added information visualization
Module 5 · 4 Hours to complete
Interactive user interface
Module 6 · 4 Hours to complete
Fee Structure
Instructor
Scala Education Leader and Programming Language ExpertJulien Richard-Foy serve
Julien Richard-Foy serves as the Director of Education at the Scala Center at EPFL, where he focuses on making advanced programming techniques accessible to a broader audience. He leads the development of educational content and initiatives that bridge the gap between academic research and industry practices in Scala programming. As the lead instructor for "Effective Programming in Scala," a comprehensive course with over 14,688 enrolled students, he teaches fundamental concepts, best practices, and real-world applications of the Scala language. His course, which maintains a remarkable 4.8/5 instructor rating, covers essential topics from business domain modeling to asynchronous computations and functional programming. Through his work at the Scala Center, he contributes to developing open-source tools and libraries while guiding the Scala community's growth and supporting newcomers to the ecosystem.
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4.4 course rating
546 ratings
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