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Computer Science Courses

104 Courses

California Institute of Technology Udemy

ChatGPT for Web Design - Create Amazing Websites in 1 Hour!

Discover the innovative world of web design with ChatGPT! Our Udemy course teaches you how to harness the capabilities of AI to create remarkable websites in just one hour. Experience the seamless integration of artificial intelligence in coding and web development with us. Whether you're interested in Artificial Intelligence Courses, Computer.
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California Institute of Technology Udemy

Masterclass in ChatGPT, Advanced Analytics & Python Projects

Join our comprehensive Masterclass covering ChatGPT, advanced analytics, and Python projects. Discover the power of the ChatGPT Code Interpreter, a no-code tool designed for Excel and Python applications. Whether you're looking to build basic web apps or perform intricate data analyses, this course is your gateway to innovation. Offered by Udem.
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California Institute of Technology Udemy

Linear Algebra for Data Science & Machine Learning A-Z 2023

Event Title: Linear Algebra for Data Science & Machine, Learning A-Z 2023 Description: Dive into the essentials of Linear Algebra tailored specifically for Data Science, Big Data, Machine Learning, Engineering, and Computer Science. This comprehensive course on Udemy is designed to help you master the core concepts and techniques of Linear Algebra,.
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provider Udemy
pricing Paid Course
duration 18 hours
sessions On-Demand
California Institute of Technology Udemy

10 projects in10 Day HTML5, CSS3, JavaScript in 2022

10 Projects in 10 Days: HTML5, CSS3, and JavaScript in 2022 Embark on a 10-day journey to master HTML5, CSS3, and JavaScript with our comprehensive Udemy course. Suitable for all aspiring web developers, this course covers essential topics like arrow functions, callback functions, and both simple and advanced functions. You'll also gain ha.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand

What kind of career can you pursue with a Computer Science degree?

Computer Science, or CS, is the science of the methods and processes of collecting, storing, processing, transmitting, analysing and evaluating information using computer technology to enable its application to decision-making.

Introduction to Computer Science AI

There are similar fields, such as data science or software engineering. Some of them can be considered part of Computer Science, but there is still a difference in terms: Computer Science is a broader concept. They study computer technology and information representation as a whole, rather than separate areas such as development. To understand Computer Science in depth, you need a good mathematical apparatus. Unlike many IT applications, this field is strongly related to maths. Computer Science can be studied in higher education institutions in technical specialities dedicated to information technology. But you can also master them on your own with computer science artificial intelligence courses.

Learning Outcomes and Skills

Computer Science is very broad, so we cannot give a complete list of the fields it includes. Let us give examples of theoretical and practical disciplines related to it at computer science ai courses.

Mathematics

Mathematical analysis, linear algebra and other disciplines are also important, but the discipline with the greatest connection to computer science is discrete mathematics. It studies "discontinuous", finite, that is, discrete structures. There are a huge number of algorithms based on this maths, which are used in various branches of IT. Discrete mathematics includes graph theory, finite automata, combinatorics and many other areas.

Theoretical Computer Science

This is the fundamental science that deals with information: how it is represented, stored, and transmitted. Theoretical computer science works with abstract concepts and theories. The term "fundamental" means that this science does not involve creating something in practice: it may describe a new approach to storing information, but not realise a machine that stores it that way. To theoretical computer science we can refer information theory and coding theory - the latter is devoted to the transformation of information into codes. The study of algorithms and the structure of programming languages also belongs to this area.

Programming languages

Computer science is not the same as programming, although the spheres are related. CS studies not so much the peculiarities of languages and the ability to apply them, but their internal structure in general. It is how programming languages are arranged, what their structure is, how they are implemented and what they are based on. Designing programming languages, their classification, analyses belong to computer science.

Career Opportunities and Enrollment Details

If you have studied at an artificial intelligence course for computer science, you will have learnt many technical and non-technical skills that are highly valued by employers, from leadership to programming. The increasing use of computer science means you have a wide range of choices in a wide range of highly specialised fields. With computer technology playing an ever-increasing role in all aspects of modern life, you are likely to find your computing skills in demand in many different industries. These include: financial organisations, management consulting firms, software development firms, communications companies, data warehouses, multinational companies (IT related, financial services and others), government agencies, universities and hospitals. However, it is not surprising that most graduates of the computer science with ai course hold positions in the computer industry!