A lot of students choose to study data science for many different reasons. Check why it is so important in the field of IT.
Importance of Data Science in the IT Industry
If there is one trend that defines the development of the world as a whole for the last couple of decades, it is data science. A discipline bringing together programming, mathematics, and statistics, it completely changed the way we live our life, the way businesses work and make decisions and, in the long run, the way history moves forward. While data has always been valuable, it only recently acquired its current importance, with the emergence of computing capacities and methods capable of processing and making sense of huge swathes of it. The application of data science transforms businesses across the board, in all industries, from engineering and transport to entertainment and medicine. It would not be an exaggeration to say that the entire IT industry today is built around data science. However, one can speak at length on this topic without saying anything specific. You may ask, “What exactly does it all mean? What does it entail for me and my life, my future career? Should I consider studying data science and related subjects?” The short answer is, yes you should. For the long answer, read on.
Suddenly the entire humankind discovered that we live in a world that is chock-full of data. Of course, it has always been there – people have been doing accounting for the entire duration of our history. However, until recently the only way to glean useful insights from the huge loads of collected data was to manually sort through it, hoping to stumble upon a pattern. Even for the best mathematicians in the world, it is an exceedingly time-consuming, complex, and largely luck-governed task. At the very best, whatever management or organizational insights an organization received this way were produced long after they ceased to be relevant. It was a sort of “Now we see what we had to do five years ago” arrangement.
Data science changes everything. Now, with the help of a specialized algorithm, one can find patterns in seemingly random streams of data, and it is relatively cheap. Using their knowledge of Java, Matlab, Python, SQL, and data mining, specialized experts can quickly analyze huge amounts of data to provide business-critical insights exactly when they are necessary. More and more businesses and organizations turn to data science solutions as a source of important decisions. This inevitably means that people capable of wrangling data are in high demand – and this demand is only going to increase in the years to come.
In all industries, data science changes the very nature of the playing field. While in the past businesses had to act virtually blindly, observing the behavior of their clients and competitors and trying to guess what it means, data science can remove a lot of this uncertainty. Customers’ actions are no longer a mystery – for example, eCommerce websites can create client personas based on their online behavior. Based on them, they can determine probabilities of them liking specific products, thus providing valuable insights concerning potential recommendations. And it is just a very basic application of data science – businesses can use it to optimize large-scale logistics, decrease downtime, improve the efficiency of work processes, and more, saving and earning millions of dollars as result.
As data science solutions become more affordable, the demand for specialists in this field will grow across the board. It is already used not just in marketing, banking, healthcare, or IT proper. It is and will be used to optimize processes everywhere from the retail and service industry to engineering and manufacturing.
If what we said so far is not enough to persuade you that data science is a viable and extremely lucrative career option, here are some more specific reasons to consider it.
A good specialist in data science is almost guaranteed to have plenty of opportunities and chances to build a rewarding career, bringing real value to the companies he/she works for. As the role of data in decision-making continues to grow, the services of such experts are only going to get more sought-after.
Unlike law and other career paths known for their high potential incomes, data science (at least right now) is characterized by relatively low competition, both in the field as a whole and within the boundaries of a specific organization. The career of a data scientist requires a highly analytical mindset and carries with itself a unique skillset. The talent pool lags far behind the current demand for such experts, which means that with sufficient qualifications you will be almost certain to find employment on your terms. At the very least, you will have better chances than an average graduate with an MBA or another widespread degree.
Not many jobs give you an opportunity to make decisions that make a real difference for the company you work for. Data science is one such job.
Even if you start your academic career in data science and decide, after a bit of too difficult coursework, that it is not for you, there are plenty of opportunities to use the already acquired skills and knowledge in other fields. For now, you may use data science assignment help to deal with problems concerning your current homework assignment writing, and later try out other venues, like data engineering, machine learning, analytics, etc. Just like not everyone who learns to write can become a writer, you are not obliged to become a data scientist after acquiring some of the relevant skills – but these skills can still come in handy in other lines of work.
All in all, data science is one of the most promising and rapidly developing parts of the IT industry today. Anybody with the right set of skills and enthusiasm for it can hope for a successful, fascinating, and highly rewarding career in this area.