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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 ;

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.

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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

Functional scala data capstone project

According to learners, this Capstone project is a highly challenging but ultimately rewarding culmination of the Functional Programming in Scala specialization. Students appreciate the opportunity to apply their skills to a large, real-world data processing application. While the project provides invaluable practical experience, many note a significant difficulty jump from previous courses and point out that instructions can be vague, often requiring extensive self-exploration. Some also mention facing setup and infrastructure issues. Overall, it's seen as a rigorous test that consolidates knowledge for those prepared for the challenge.

Requires solid knowledge from prior courses.

"You definitely need to have a solid understanding from the preceding courses."

"Be comfortable with Scala and functional concepts before attempting this capstone."

"Prior knowledge from the specialization is absolutely essential to succeed."

Apply skills to a large, realistic problem.

"I loved building a real-world application involving data processing and visualization."

"Applying functional programming concepts to a large project like this was incredibly valuable."

"The hands-on experience with big data in a functional style is a major strength."

Some users reported issues with setup.

"Getting the project environment set up took more time than I expected."

"I ran into problems with the provided infrastructure and spent a lot of time troubleshooting."

Guidance can be vague, requiring self-study.

"Instructions can sometimes be vague, which means you have to figure things out yourself."

"Debugging was tough because the guidance wasn't always clear enough."

"I felt like I needed more hints and clearer examples to make progress."

Project is very difficult and demanding.

"This project is very challenging; be prepared to spend a lot of time on it."

"The difficulty is a big jump from the earlier courses in the specialization."

"It's way too hard if you don't have a strong background."

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

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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 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

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

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

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

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

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

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

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

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

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

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

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

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

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What's inside

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Reviews summary

Functional scala data capstone project

Activities

Career center

Reading list

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