TTT #41: "What Should I Study to Get Into Tech?" with Aakash Arora

The pace of education today is incomparably slower when compared to technological advancement. There is also a lack of funding to equip schools with the tools and expertise they would need to offer meaningful STEM education. Machine learning, software engineering, data analysis: when it comes to technology, there may be too many apparent options; but too little exposure to decide how to move forward. Aakash's Turing Education is working to revolutionize this dynamic. It seeks to incorporate emerging technologies with the national education, and ultimately the industry.

The buzz and endless pathways surrounding technology sound fascinating. But at first glance, these can be equally intimidating when you don't know how to navigate through any of it.

If you are not too sure of the specific area you want to be a part of, you can always go in for a well-rounded degree such as Computer Science. From a career perspective, an expanding number of options ranging from engineering to consultancy remain open for you. But apart from that, you also gain the ability to think logically and connect dots cohesively.

Often, we tend to underestimate the interrelation of computing and mathematics. The latter's abstract concepts and foundational principles are all relevant in different ways depending on what you do, such as customizing data sets into an algorithm. There is also a fair amount of interplay with psychological principles. The influx of cognitive load, for instance, affects STEM learning and retention.

There are loads of open source applications (such as Scratch) you can try your hands on. But the idea behind that is not to have you intimidated. Just experiment with what you come across, stimulate your curiosities, and explore.