This is part two of our five-part thread about how different online skills matter in technology and tech companies. We started with Copy-Writing yesterday, today we would have a quick chit-chat on the relevance of having a skill in statistical data analysis and how it can help you in the tech environment.
As we all know it, the world is becoming more and more data-driven, with endless amounts of data available to work with. Big companies like Google and Microsoft use data to make decisions, but they’re not the only ones. Data analysis is used by small businesses, retail companies, in medicine, and even in the world of sports. It’s a universal language and more important than ever before. It seems like an advanced concept but data analysis is really just a few ideas put into practice.
It is always required of a data analyst to retrieve data from one or more sources and prepare the data making it ready for numerical and categorical analysis. At its very core, data analysis means taking a business question or need and turning it into a data question. Then you will need to transform and analyze data to extract an answer to that question. Looking at it more critically, this is almost the entirety of the basic steps in the development of projects in technology. All technological innovations produced are neither just developed in the wave of the moment nor in a sudden flash, a series of procedures or steps are always taken which always involves the gathering and acquiring of user requirements, this practice is often carried out in different ways. Nonetheless, the bone of contention is data that has to be gathered through questions in the form of requirements which in turn forms the basis of the development process.
Not disregarding the ability to looking to find interesting trends or relationships in data that could bring value to a business, which is credited to every analyst skill of data exploration. By looking to find patterns and blips in data, you may stumble across an opportunity for the business to decrease costs or increase growth! With this, you will be a very good programmer in the tech world or even among the best entrepreneurs!
Essentially, Having a statistical data analytical skill will go a long way in helping you to understand the rudimentary basics of almost any programming language you might develop an interest in. This knowledge will help guide you from making logical errors and help you with a very readable coding skill and considering how familiar with solving problems and bugs you must be as an analyst you will find it quite normal when you are faced with problems that needs to be solved, be it as a programmer or a project manager.
With all said, your flexible communication skill as an analyst will also be very instrumental in the tech field. So brace yourself for the next thing because you really will find the tech world comfortable.