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Julien Richard-Foy
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 ;
Read more
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 ;
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/au84a3/functional
What's inside
Syllabus
Project overview
Get an overview of the project and all the information to get started. Transform data provided by weather stations into meaningful information.
Read more
Syllabus
Project overview
Get an overview of the project and all the information to get started. Transform data provided by weather stations into meaningful information.
Read more
Raw data display
Transform temperature data into images, using various interpolation techniques.
Interactive visualization
Generate images compatible with most Web-based mapping libraries.
Data manipulation
Get more meaning from your data: compute temperature deviations compared to normals.
Value-added information visualization
Generate images using bilinear interpolation.
Interactive user interface
Implement how the user interface will react to users’ actions
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers real-world data-intensive application development, a highly relevant industry skill
Led by instructors recognized for their expertise in data science
Includes hands-on labs and interactive materials, enhancing practical learning
Builds a strong foundation in data manipulation and visualization techniques
Involves transforming raw data into meaningful insights, a valuable skill in various fields
Students should have prior experience with data analysis tools and techniques
Save this course
Save Functional Programming in Scala Capstone to your list so you can find it easily later:
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Reviews summary
Scala capstone practice
Learners say that this challenging and frustrating course can also be engaging and well-structured. While two learners complained unclear instructions led them to not progress past week 4, others praised the engaging assignments such as the capstone project. Many students appreciated how this course nicely tests Scala skills, especially when combined with the previous courses in the specialization.
Difficult but rewarding
"The course is hard but fruitful, you will exploit what you learn from the specialization!"
"Overall I learned a lot of things and the graders and the grader tests are very well implemented to ensure the quality of the solution."
Engaging, well-structured, and challenging
"Excellent course to put everything learned in the previous four into practice (Spark, Big Data, Parallel Programming, and Functional Scala design and programming)."
"The capstone project is really well structured"
Not enough Scala or advanced libraries
"Wish this course involved more advanced scala libraries like spark or akka"
"I used spark in only the first 2 milestones and then after that it was parallel scala collections the rest of the way."
Opaque and unhelpful error messages when running into timeouts and out of memory exceptions
"doesn't tell what test caused that error nor does it give any more details."
"Trying to replicate the smaller machine environment locally during testing did not really help at all."
Difficult to interpret
"No good explanations, no mentors, everyone survives on their own."
"Sometimes instructions even make it worse, so you are left to experiment and try to understand, that you do not need to listen."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Functional Programming in Scala Capstone with these
activities:
Machine Learning Resource Compilation
Show steps
Organize and compile helpful resources related to machine learning to support your learning journey.
Show steps
-
Search for online articles, tutorials, books, and videos on machine learning algorithms, techniques, and applications.
-
Categorize and organize the resources based on topics and difficulty levels.
-
Create a resource document or online repository for easy reference.
Linear Algebra I
Show steps
Revisit the basics of linear algebra to strengthen your foundation for this course.
Browse courses on
Matrix Operations
Show steps
-
Review notes and past assignments from a previous linear algebra course.
-
Complete online tutorials or practice problems on matrix operations.
-
Solve systems of linear equations using Gaussian elimination.
Project Discussion Group
Show steps
Collaborate with peers to brainstorm ideas, share progress, and provide constructive feedback on your capstone project.
Browse courses on
Capstone Project
Show steps
-
Join a group of 3-5 students who are also working on the capstone project.
-
Meet regularly to discuss your project ideas and progress.
-
Provide feedback and suggestions to improve each other's projects.
Three other activities
Expand to see all activities and additional details
Show all six activities
Exploratory Data Analysis Report
Show steps
Conduct an in-depth analysis of a real-world dataset to gain insights and prepare for the capstone project.
Browse courses on
Exploratory Data Analysis
Show steps
-
Select a dataset and gather necessary information.
-
Explore and visualize the data using techniques like histograms, scatterplots, and box plots.
-
Perform statistical analysis to identify patterns and relationships.
-
Write a report summarizing your findings and insights.
Machine Learning Hackathon
Show steps
Participate in a hackathon to apply your skills, collaborate with peers, and enhance your understanding of machine learning concepts.
Browse courses on
Machine Learning Algorithms
Show steps
-
Team up with fellow students and choose a machine learning challenge.
-
Develop a machine learning model and evaluate its performance.
-
Present your findings to a panel of experts and receive feedback.
Kaggle Machine Learning Competition
Show steps
Challenge yourself and showcase your skills by participating in a Kaggle machine learning competition.
Browse courses on
Kaggle Competitions
Show steps
-
Choose a competition that aligns with your interests and skill level.
-
Develop a machine learning model and submit your predictions.
-
Analyze your results, identify areas for improvement, and refine your approach.
Machine Learning Resource Compilation
Show steps
Organize and compile helpful resources related to machine learning to support your learning journey.
Show steps
Show steps
Show steps
- Search for online articles, tutorials, books, and videos on machine learning algorithms, techniques, and applications.
- Categorize and organize the resources based on topics and difficulty levels.
- Create a resource document or online repository for easy reference.
Linear Algebra I
Show steps
Revisit the basics of linear algebra to strengthen your foundation for this course.
Browse courses on
Matrix Operations
Show steps
Show steps
Show steps
- Review notes and past assignments from a previous linear algebra course.
- Complete online tutorials or practice problems on matrix operations.
- Solve systems of linear equations using Gaussian elimination.
Project Discussion Group
Show steps
Collaborate with peers to brainstorm ideas, share progress, and provide constructive feedback on your capstone project.
Browse courses on
Capstone Project
Show steps
Show steps
Show steps
- Join a group of 3-5 students who are also working on the capstone project.
- Meet regularly to discuss your project ideas and progress.
- Provide feedback and suggestions to improve each other's projects.
Three other activities
Expand to see all activities and additional details
Show all six activities
Exploratory Data Analysis Report
Show steps
Conduct an in-depth analysis of a real-world dataset to gain insights and prepare for the capstone project.
Browse courses on
Exploratory Data Analysis
Show steps
Show steps
Show steps
- Select a dataset and gather necessary information.
- Explore and visualize the data using techniques like histograms, scatterplots, and box plots.
- Perform statistical analysis to identify patterns and relationships.
- Write a report summarizing your findings and insights.
Machine Learning Hackathon
Show steps
Participate in a hackathon to apply your skills, collaborate with peers, and enhance your understanding of machine learning concepts.
Browse courses on
Machine Learning Algorithms
Show steps
Show steps
Show steps
- Team up with fellow students and choose a machine learning challenge.
- Develop a machine learning model and evaluate its performance.
- Present your findings to a panel of experts and receive feedback.
Kaggle Machine Learning Competition
Show steps
Challenge yourself and showcase your skills by participating in a Kaggle machine learning competition.
Browse courses on
Kaggle Competitions
Show steps
Show steps
Show steps
- Choose a competition that aligns with your interests and skill level.
- Develop a machine learning model and submit your predictions.
- Analyze your results, identify areas for improvement, and refine your approach.
Career center
Learners who complete Functional Programming in Scala Capstone will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, using various interpolation techniques, and more.
Software Engineer
Software Engineer
Software Engineers design, develop, test, deploy, and maintain software systems. Functional Programming in Scala Capstone may be useful as this course covers how to implement a complete application processing several gigabytes of data, making images from this information, and more.
Web Developer
Web Developer
Web Developers design and develop websites and web applications. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, making images from this information, and more.
Data Engineer
Data Engineer
Data Engineers apply their expertise in data modeling, data integration, data quality, and data security to design and construct data pipelines that transform raw data into usable, consistent formats. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, using various interpolation techniques, and more.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data to help make informed decisions. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, using various interpolation techniques, and more.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts (Quants) use mathematical and statistical models to analyze financial data and make investment decisions. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, using various interpolation techniques, and more.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases to ensure data integrity and performance. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, using various interpolation techniques, and more.
Cartographer
Cartographer
Cartographers create maps and charts to represent geographical data. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, use spatial and linear interpolation techniques, and more.
Information Architect
Information Architect
Information Architects design and implement information systems to meet the needs of users. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, using various interpolation techniques, and more.
Geospatial Analyst
Geospatial Analyst
Geospatial Analysts use geospatial data and technologies to solve problems and make decisions. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, use spatial and linear interpolation techniques, and more.
Graphic designer
Graphic designer
Graphic Designers create visual concepts and images to communicate messages. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, making images from this information, and more.
User Experience (UX) Designer
User Experience (UX) Designer
User Experience (UX) Designers create user interfaces and experiences that are intuitive and enjoyable. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, making images from this information, and more.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve complex problems. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, using various interpolation techniques, and more.
Business Analyst
Business Analyst
Business Analysts analyze business processes to identify areas for improvement. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, using various interpolation techniques, and more.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. Functional Programming in Scala Capstone may be useful as this course covers how to transform data provided by weather stations into meaningful information, using various interpolation techniques, and more.
For more career information including salaries, visit:
OpenCourser.com/course/au84a3/functional
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Functional Programming in Scala Capstone.
Provides a comprehensive overview of functional programming in Scala, covering the basics of functional programming, as well as more advanced topics such as monads and type classes. It valuable reference for anyone interested in learning more about functional programming in Scala.
Provides a comprehensive introduction to functional and reactive domain modeling, covering topics such as domain-driven design, event sourcing, and CQRS.
Provides a concise and practical introduction to Scala, covering the basics of the language and how to use it for real-world applications.
Provides a comprehensive introduction to Scala for machine learning, covering topics such as data manipulation, feature engineering, and model building.
Save
Collection of recipes for solving common problems in Scala. It covers a wide range of topics, from basic programming tasks to more advanced topics such as concurrency and functional programming. It valuable resource for anyone who wants to learn more about Scala.
Provides a hands-on introduction to data analytics with Scala and Spark, covering topics such as data exploration, machine learning, and streaming analytics.
Save
Provides a deep dive into the internals of Apache Spark, the distributed computing framework used in the course for big data processing.
Provides a practical guide to using Scala for big data analytics, covering topics such as data ingestion, transformation, and visualization.
Provides a comprehensive introduction to Python for data analysis, covering topics such as data cleaning, transformation, and visualization.
Save
Provides a comprehensive introduction to R for data science, covering topics such as data manipulation, modeling, and visualization.
Save
Provides a collection of recipes for common problems in Scala, covering topics such as data structures, functional programming, and concurrency.
Save
Provides a deep dive into the Scala language, covering topics such as type system, concurrency, and functional programming.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/au84a3/functional
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Effort
6 weeks, 4-5 hours/week
Via
Coursera
Institution
École Polytechnique Fédérale de Lausanne2
Instructor
Julien Richard-Foy
Language
English
Transcripts
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آذربایجان دیلی
This course belongs to a
collection
called
Functional Programming in Scala. It's comprised of five courses:
- Parallel programming
- Functional Programming Principles in Scala
- Big Data Analysis with Scala and Spark
- Functional Programming in Scala Capstone (viewing)
- Functional Program Design in Scala
Good to know
Covers real-world data-intensive application development, a highly relevant industry skill
Led by instructors recognized for their expertise in data science
Includes hands-on labs and interactive materials, enhancing practical learning
Builds a strong foundation in data manipulation and visualization techniques
Involves transforming raw data into meaningful insights, a valuable skill in various fields
Students should have prior experience with data analysis tools and techniques
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