Clojure Fundamentals For Beginners
This online course provides an introduction to Clojure, a dialect of the LISP programming language designed for Java Virtual Machines, Common Languages Runtime, and JavaScript engines. It is ideal for beginners looking to learn the fundamentals of Clojure. ▼
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Course Feature
Cost:
Paid
Provider:
Eduonix
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
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Updated in [March 06th, 2023]
This online course, Clojure Fundamentals For Beginners, provides an introduction to the Clojure programming language. Students will learn the basics of Clojure, including its syntax, data structures, and functions. They will also explore the language's features, such as its support for concurrency and immutability. Additionally, students will gain an understanding of the Java Virtual Machines, Common Languages Runtime, and JavaScript engines that Clojure is designed to work with. By the end of the course, students will have a solid foundation in Clojure and be able to write basic programs.
[Applications]
After completing this course, learners can apply their knowledge of Clojure to develop applications for the web, mobile, and desktop. Learners can also use Clojure to develop distributed systems, data analysis, and machine learning applications. Additionally, learners can use Clojure to develop applications for the Internet of Things (IoT) and to create interactive data visualizations.
[Career Paths]
1. Clojure Developer: Clojure developers are responsible for developing applications using the Clojure programming language. They must have a strong understanding of the language and its features, as well as the ability to write efficient and maintainable code. As Clojure is becoming increasingly popular, the demand for Clojure developers is growing.
2. Data Scientist: Data scientists use Clojure to analyze large datasets and uncover insights. They must have a strong understanding of the language and its features, as well as the ability to write efficient and maintainable code. As data science is becoming increasingly important, the demand for data scientists with Clojure experience is growing.
3. Machine Learning Engineer: Machine learning engineers use Clojure to develop and deploy machine learning models. They must have a strong understanding of the language and its features, as well as the ability to write efficient and maintainable code. As machine learning is becoming increasingly important, the demand for machine learning engineers with Clojure experience is growing.
4. DevOps Engineer: DevOps engineers use Clojure to automate the deployment and management of applications. They must have a strong understanding of the language and its features, as well as the ability to write efficient and maintainable code. As DevOps is becoming increasingly important, the demand for DevOps engineers with Clojure experience is growing.
[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 topics such as artificial intelligence, computer graphics, and computer networks. This degree path is ideal for those looking to pursue a career in software engineering, computer programming, or computer systems analysis. Additionally, the developing trend in this field is the increasing use of artificial intelligence and machine learning.
2. Master of Science in Software Engineering: This degree path focuses on the design, development, and maintenance of software systems. It covers topics such as software architecture, software engineering principles, software testing, and software project management. This degree path is ideal for those looking to pursue a career in software engineering, software development, or software architecture. Additionally, the developing trend in this field is the increasing use of cloud computing and distributed systems.
3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and the application of artificial intelligence techniques. It covers topics such as machine learning, natural language processing, computer vision, and robotics. This degree path is ideal for those looking to pursue a career in artificial intelligence, machine learning, or data science. Additionally, the developing trend in this field is the increasing use of deep learning and neural networks.
4. Doctor of Philosophy in Computer Science: This degree path focuses on advanced topics in computer science, such as algorithms, programming languages, operating systems, and software engineering. It also covers topics such as artificial intelligence, computer graphics, and computer networks. This degree path is ideal for those looking to pursue a career in research or academia. Additionally, the developing trend in this field is the increasing use of big data and data science.
Pros & Cons
Good range of subject matter
Knowledgeable instructor
Good amount of cut and paste examples
Poor delivery and structure
Quiet, monotonous voice
Little live coding or explanation
Course Provider
Provider Eduonix's Stats at AZClass
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