Coding has become one of the most sought after core skills in the job market. To introduce you to code there are multiple online courses and free workshops, such as the ones we offer at CodeClan: https://codeclan.com/events/ Computer programming is important today because so much of our world is automated and digital. Humans need to be able to control the interaction between people and machines. Code makes the Internet, mobile applications and any software you use on your devices possible. And to do all this you need programming languages, so which programming languages are the most widely used?
Since there are maaaaaaany programming languages, in this blog we’ll explore only a few of the most in-demand. If you want to get started in programming, or find a job learning to program, you should start with the most widely used and most demanded programming languages.
While not strictly a programming language, Hypertext Markup Language (HTML) is the language that makes the Web as we know it possible. So, if you are reading this on your computer, tablet or phone, it’s thanks to HTML. Created in the early 90s by Tim Berners-Lee, it’s a language that’s fundamental to the Internet. It’s so popular that practically any web browser or text editor allows you to open HTML documents.
This language allows us to create and view the basic static content on the Internet, with
hyperlinks that facilitate the organisation of texts, images, headers and so on.
Jobs that require HTML: software developer, web and multimedia developer, frontend and full stack developer, UX designer, marketers, etc.
Learn HTML with CodeClan’s short course ‘HTML & CSS’: https://codeclan.com/courses/learn-html-css/
And if we are talking about HTML as a pillar of the Web on the Internet,we have to mention CSS. CSS is the acronym for Cascading Style Sheets, it complements the HTML language by adding style to web pages. With a CSS style sheet we can change the appearance and functioning of a web page, adding colour, layout, alignment, formatting, fonts and more.
Jobs that require CSS: software developer, frontend and full stack developer, web and multimedia developer, marketers, UX designers, etc. Basically, the same profiles that use HTML in their day-to-day work.
Learn CSS with CodeClan’s short course ‘HTML & CSS’: https://codeclan.com/courses/learn-html-css/
Check out CodeClan’s Software Development courses: https://codeclan.com/courses/professional-software-development/
Python appeared in 1991 with the aim of being an object-oriented, interpreted, dynamic and multi platform language.
Many people recommend Python as the first language to get started in programming because of its features and simplicity of code. That’s why at CodeClan, for example, it’s the first programming language our software development students learn with us.
In recent years, Python’s popularity has massively increased because of its wide use in any field that requires data processing.
Jobs that require Python: system administrators, data engineers, data scientists, data analysts, business analysts, software engineers, economists.
Does this sound good? Check out our blog ’8 reasons you should be learning Python’.
CodeClan’s Python short course for Data Analysis:
CodeClan’s Python short course for Software Development: https://codeclan.com/courses/programming-fundamentals-with-python/
R is a programming language and environment with a focus on statistical analysis.
R was born as a free software reimplementation of the S language, with added support for static scope. It’s one of the most widely used programming languages in scientific research and is also very popular in the fields of machine learning, data mining, biomedical research, bioinformatics and financial mathematics.
Jobs that require R programming: Data analysts, business analysts, business intelligence experts, data visualisation experts, quantitative analysts…
Learn R programming with CodeClan’s ‘R’ short course: https://codeclan.com/courses/r-programming-data-analysis/
Along with Python and SQL, R is also one of the key languages on our Professional Data Analysis course.