Popular Programming Languages and Where to Learn

Let’s look at the most popular programming languages as it is a new standard of work to upskill your assets. Of course, it will bring a lot of changes, but one enduring theme will be upskilling and learning new programming language tricks.

Upskilling will be a section of work’s new normal. Most of these courses are open for free or with a subscription.

Some may be possible through corporate programs from your company. Let’s ponder on them without any further delay.

Programming Languages


JavaScript has its portion of detractors, but it’s the core programming language. If you’re commencing from scratch or need to branch out, JavaScript is a necessity. RedMonk has remarked that JavaScript is a force of nature-based on Github pulls. JavaScript holds functional, event-driven, and imperative programming styles as a multi-paradigm language. In addition, it has application programming interfaces (APIs) for working with text, dates, regular expressions, standard data structures, and the Document Object Model (DOM).

The ECMAScript standard includes input/output (I/O), like networking, storehouse, or graphics facilities. In tradition, the web browser or other runtime system provides JavaScript APIs for I/O. JavaScript engines were initially used only in web browsers, but they are now core components of some servers and various applications. 

Courses to view:

  • Coursera: Johns Hopkins: HTML, CSS, & JavaScript for Web Developers, Introduction to JavaScript: The Basics
  • Udemy: Various courses centered on beginners, advanced, and the weird parts. Classes are rated to be value plays.


Python has been growing due to data science demand and a bevy of folks looking to upskill. So put, Python is hot and the lingua franca for anything with data. Tech giants like Google want you to know Python too. Python is a paraphrased high-level, general-purpose programming language. Its treatment philosophy stresses code readability with its use of meaningful indentation. Its language constructs and object-oriented procedures help programmers write precise, logical code for short and large-scale projects.

Python is dynamically-typed and garbage-collected. It holds multiple programming paradigms, including structured (largely procedural), functional and object-oriented programming. It is often portrayed as a “batteries included” language due to its extensive standard library.

Courses to view:

  • eDX: Getting Started with Python
  • Coursera: IBM Data Science Fundamentals with Python and SQL Specialization, University of Michigan Python for Everybody Specialization, Google IT certificate
  • Pluralsight: Core Python path
  • Udacity: Programming for Data Science with Python


Java is another programming language that will not be sexy or make you view hip at a conference. But it is a core programming structure block for anyone looking to be a software engineer. Java is a class-based, high-level, object-oriented programming language created to have as some implementation dependencies as feasible. It is a broad-purpose programming language intended to let programmers write once, run anywhere (WORA), indicating that compiled Java code can operate on all platforms that boost Java without the requirement for recompilation. Java applications are typically organized to bytecode that can work on any Java virtual machine (JVM) despite the underlying computer construction. The syntax of Java is similar to C and C++ but has fewer low-level facilities than either of them. In addition, the Java runtime provides dynamic capabilities (such as reflection and runtime code modification) typically unavailable in traditional compiled languages. According to GitHub, as of 2019, Java was one of the most popular programming languages in use, particularly for client-server web applications, with a reported 9 million developers.

Courses to view:

  • Coursera: Java Programming and Software Engineering Fundamentals thru Duke University
  • Udacity: Nanodegree: Become a Java Web Developer
  • Pluralsight: Java Language Fundamentals


PHP is a must-have for any Web developer, and it frequently rides with HTML, CSS, and JavaScript. In addition, many courses bundle PHP with other languages used on the Web stack. PHP code is regularly processed on a web server by a PHP interpreter executed as a module, a daemon, or Common Gateway Interface executable. The result of the evaluated and enforced PHP code on a web server any data, like generated HTML or binary image data would form the whole or part of an HTTP response. Various web template systems, web content management systems, and web frameworks exist which can be employed to orchestrate or facilitate the generation of that response.

Courses to view:

  • Udemy: The Complete 2021 PHP Full Stack Web Developer Bootcamp
  • Udemy: A few best-sellers on PHP.
  • Coursera: Building Web Applications in PHP via University of Michigan
  • Pluralsight: What’s new in PHP 7

C# and C++

Few will talk C languages around the water cooler, but they have staying power and are a building block for all developers.

Courses to view:

  • C#
    • Coursera: C# Programming for Unity Game Development via University of Colorado System
    • Udemy: C# Basics for Beginners
    • Udemy: Complete C# Masterclass
  • C++
    • Pluralsight: C++ track
    • edX: Introduction to C++ via Microsoft


CSS is core to Web developers. It’s a building block for front-end developers. CSS is designed to separate presentation and content, including layout, colors, and fonts. This separation can improve content accessibility; provide more flexibility and control in the specification of presentation characteristics. It will enable multiple web pages to share formatting by specifying the relevant CSS in a separate .css file. It decreases complexity and redundancy in the structural content and allows the .css file to be cached to improve the page load speed between the pages that share the file and its formatting.

Courses to view:

  • Coursera: Introduction to CSS3 via University of Michigan
  • edX: HTML5 and CSS Fundamentals


Understanding SQL is critical for data science or big data-related fields. SQL, also acknowledged as Structured Query Language, is a domain-specific language utilized in programming and designed for handling data held in a relational database management system (RDBMS) or for stream processing in a relational data stream management system (RDSMS). It is advantageous in handling structured data, i.e., data consolidating relations among entities and variables.

SQL allows two main benefits over older read-write APIs like ISAM or VSAM. Firstly, it introduced the concept of reaching many records with one single command. Secondly, it reduces the requirement to specify how to get a document, e.g., with or without an index.

Courses to view:

  • Coursera: Learn SQL Basics for Data Science via UC Davis
  • Udemy: Learn SQL
  • edX: Data Management with Python and SQL via SNHU