The Ironhack Blog

So you’ve just finished a degree. Woo! You got the paper, you got the photo, you threw your hat in the air…you can’t delay the inevitable question any longer. What now?

JavaScript has come a long way since its creation in the mid-90s. What started as a client-side scripting language can now be used as a server-side language as well through the introduction of frameworks like Node.js, essentially making it the language of the internet. It has been ranked as the most commonly used programming language for the 8th consecutive time, it is used to build roughly 95% of the world’s websites (1.5 billion) and it is one of the most in-demand skills in the job marketplace. 

As a recent graduate, the act of finding a job during/after the pandemic is shadowed by a big question mark. Coronavirus hit us all, hard, and from many different and sometimes unexpected angles. The struggle of starting  a new career, for example. But do not fret! In this article we are going to bring you some great news and shed light on some potential career pathways that could give you some much needed perspective about what to do after graduating. We have looked into which industries have gone into decline due to COVID-19 and which ones are actually growing as well as the job positions blowing up out there! So, if you are a new grad, keep reading, or, if you know one, send them this article.  : )

Ruth and Anäis met at Ironhack learning UX/UI, with completely different backgrounds they team up together to deliver an awesome final project that made them win the Hackshow. Ruth is British and has never been in touch with the tech industry while Anaïs comes from France and has previous experience working in the tech industry. Let's take a look at their stories!

Meet Vincent, who started his career at Google in the Sales department and switched to business analytics successfully. Read the interview to learn more about his transition and the learnings he made on that way. 

The best tools to learn as a data analyst depend partly on the role you are in and the needs of the business. Different companies will have different requirements and may work with an internal or external set of tools. Some data analysis tools are used for tasks such as executing algorithms, visualising data and results, while others may be designed for preparing data for analysis, assessing results or for developing hypotheses or predictions. Data analysis tools can also be used to automate tedious tasks, providing data analysts with more time for actual analysis. There are a few key tools that are used in data analysis, however. These include SQL, Python, Git and data management tools such as R, SAS and SPSS.