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Updated in [April 24th, 2023]

Clojure is a powerful and versatile programming language that is gaining popularity among developers. With its simple syntax and powerful features, Clojure is an ideal language for developing applications. This course provides learners with a comprehensive introduction to Clojure, from beginner to advanced. Learners will learn how to set up a Clojure environment, understand the basics of Clojure development, explore advanced Clojure topics, and develop practical applications. The course also covers concurrent programming in Clojure, allowing learners to develop applications that can take advantage of multiple cores. With this course, learners will gain the skills and knowledge necessary to become proficient in Clojure development.

[Applications]
After completing this course, students should be able to apply their knowledge of Clojure to develop applications. They should be able to set up a Clojure environment, understand the basics of Clojure development, and be able to use advanced Clojure topics to create practical applications. Additionally, students should be able to use Clojure for concurrent programming.

[Career Paths]
1. Clojure Developer: Clojure developers are responsible for developing applications using the Clojure programming language. They must be familiar with the language and its features, as well as the development environment. They must also be able to debug and optimize code, and be able to work with other developers to create a cohesive product. The demand for Clojure developers is increasing as more companies are looking to use the language for their applications.

2. Data Scientist: Data scientists use Clojure to analyze large datasets and uncover insights. They must be familiar with the language and its features, as well as the development environment. They must also be able to debug and optimize code, and be able to work with other developers to create a cohesive product. Data scientists are in high demand as companies are looking to leverage data to gain a competitive edge.

3. Machine Learning Engineer: Machine learning engineers use Clojure to develop and deploy machine learning models. They must be familiar with the language and its features, as well as the development environment. They must also be able to debug and optimize code, and be able to work with other developers to create a cohesive product. Machine learning engineers are in high demand as companies are looking to leverage machine learning to gain a competitive edge.

4. DevOps Engineer: DevOps engineers use Clojure to automate the deployment and management of applications. They must be familiar with the language and its features, as well as the development environment. They must also be able to debug and optimize code, and be able to work with other developers to create a cohesive product. DevOps engineers are in high demand as companies are looking to automate their processes and increase efficiency.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides a comprehensive overview of computer science fundamentals, including programming languages, algorithms, data structures, operating systems, and software engineering. It also covers the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing. With a Bachelor of Science in Computer Science, students can pursue a career in software engineering, web development, or data science.

2. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and their applications. It covers topics such as machine learning, natural language processing, computer vision, robotics, and deep learning. With a Master of Science in Artificial Intelligence, students can pursue a career in research, software engineering, or data science.

3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. It covers topics such as data mining, machine learning, data visualization, and predictive analytics. With a Master of Science in Data Science, students can pursue a career in data analysis, software engineering, or data science.

4. Master of Science in Software Engineering: This degree path focuses on the design and development of software systems. It covers topics such as software architecture, software development methodologies, software testing, and software security. With a Master of Science in Software Engineering, students can pursue a career in software engineering, web development, or data science.

Course Syllabus

Freebies and updates

What is Clojure and brief history

Clojure installation on Windows

Clojure installation on MacOS

Clojure installation on Linux

Leiningen - clojure project manager

IDE installation

REPL