What is the best computer science course I can take that will not focus too much on the language they use?

If you are looking for a computer science course that does not focus too much on a specific programming language, but rather on the broader concepts and principles of computer science, here are some recommendations:

Computational Thinking for Problem Solving

This course from the University of Pennsylvania, available on Coursera, focuses on the skills underlying computer science, such as computational thinking. It teaches you how to break down problems and develop resolution methods that can be carried out by a computer, without delving deeply into a specific programming language1.

Principles of Computing (Rice University)

This course provides a hands-on overview of computer science fundamentals, including topics like probabilities, without a heavy emphasis on any particular programming language. It is designed to give a broad introduction to the field1.

Computer Science 101 (Stanford)

Offered by Stanford, this course is a survey of major computer science topics, including networking, and does not focus exclusively on programming languages. It provides a broad introduction to the field of computer science1.

Introduction to Computer Science and Programming (University of London)

This course, available on Coursera, covers a wide range of topics including mathematical theory, problem-solving, and critical thinking. While it does involve some programming, it is more focused on the underlying principles of computer science rather than a specific language3.

Fundamentals of Computing (Rice University)

This specialization on Coursera covers computer programming, algorithms, and computational thinking, but it does so in a way that emphasizes the fundamental concepts of computer science rather than being language-specific. It includes topics like data structures, graph theory, and probability & statistics3.

These courses are designed to provide a solid foundation in computer science principles without being overly language-centric.