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Do you know what the number one skill to get in the job market today is? It's not a programming language, and it's not a business degree. But no matter what the job market looks like, odds are you'll need to master math and statistics in order to get ahead. And if you don't do so now, you'll be left behind — but fear not, we've got your back! For this guide on how to become a math genius (and potentially use that knowledge for your career), we're going to show you how taking some simple steps will prepare you for any situation. 1. Learn a W3C-compliant markup language that is supported by the majority of browsers. A good place to start with is HTML5, which is supported by most modern browsers. Consider learning a subset of CSS, because it's a preprocessor and not a language. If you do decide to learn JavaScript, make sure you understand what object-oriented programming means and how to make your code easy for others to maintain and expand on. 2. Learn how to code inside an object-oriented programming language. C++ is considered the best for this, though Java is also a great tool to have under your belt. These are reasonable languages to learn if you plan on being in computer science for the long haul, but if you're looking for something more practical, consider C#. It's hugely popular in enterprise development environments today and Microsoft is pushing it hard with its .NET framework. One of the most important practical applications of object-oriented programming is in data science analytics with R or Python, which are two popular data mining tools that are commonly used in finance and everything else under the sun. 3. Learn a scripting language. If you're still working in a development environment, you'll be spending most of your time writing scripts, and if this is your case, then it's important to know that scripting languages are used to build automation into software from the ground up. If you're working in a front-end, high-performance environment where you don't have a lot of time to spend on building solutions from scratch, an object-oriented programming language would still be a good idea for this page.Get familiar with the syntax and structure of both languages. Then dig deeper into how these languages can be used to solve problems as well as understand everything that's going on under the hood. If you're looking to hit the ground running in some specific field, then this is where some of the trained knowledge gained from your programming experience counts for the most. 4. Learn how to build systems that are robust and scalable. You never know when you may need to make some code at scale, especially if you are on an ever-increasing deadline for delivering software. System design elements like data models, databases, persistent storage areas, authentication mechanisms, access control lists (ACLs), or auditing features are important skills to master before starting out. cfa1e77820
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