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Functional Programming in Scala Capstone

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.

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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.

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

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

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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

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Organize and compile helpful resources related to machine learning to support your learning journey.

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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

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Revisit the basics of linear algebra to strengthen your foundation for this course.

Browse courses on Matrix Operations

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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

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Collaborate with peers to brainstorm ideas, share progress, and provide constructive feedback on your capstone project.

Browse courses on Capstone Project

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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

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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

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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

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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

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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

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Challenge yourself and showcase your skills by participating in a Kaggle machine learning competition.

Browse courses on Kaggle Competitions

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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 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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Web Developer

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Cartographer

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.

See salaries and explore the career path for Information Architect

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.

See salaries and explore the career path for Geospatial Analyst

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.

See salaries and explore the career path for Graphic 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.

See salaries and explore the career path for User Experience (UX) Designer

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Business 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.

See salaries and explore the career path for Data Analyst

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.

Functional Programming in Scala, Second Edition

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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.

Functional Programming in Scala Capstone

Three deals to help you save

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Scala capstone practice

Activities

Career center

Reading list

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