In today’s digital landscape, data has become one of the biggest and most important assets for almost all organizations. Data can be fetched from anywhere and it’s actually transforming the way we live.
Unquestionably, the job of a data scientist is paid very well and there’s an increasing demand for good data scientists. As a result, there’re lots of questions regarding what are the key skills required to become a data scientist. Truth be told, there isn’t any crystal-clear definition of a data scientist.
Emergence of big data has completely transformed and revolutionized the way we work and live. In this era where almost every aspect of our regular life has been digitized, you’ll find a huge volume of data emanating from different sources. Some of them are highly technical, while some others are more deductive. Businesses are extremely adept at capturing data from almost every nook and cranny. In addition to capturing data, businesses can also buy it or sell it to third-party sources.
You’re probably already aware that the role of data scientist has been declared as the 21st century’s hottest job because of its excellent growth prospect and high pay. Perhaps you’re also dreaming of becoming a data scientist but the idea of joining a full-time engagement is something that’s stopping you back from attaining your goal.
Data scientist jobs are often said to be the IT Industry’s highest paying jobs. And this is not applicable for a specific country or region. All over the world, data scientists are taken to be the holders of coveted job posts that not only bring them the fattest pay packets and several other perks, but accord them with a high degree or reverence as well. Even those who are in the rungs lower than the data scientists make more than peers in other professions.
Data Science has emerged as a hot dip topic over the last few years but long before that in 2012, it was declared as “The Sexiest Job of the 21st Century” in an article in Harvard Business Review. If you wonder what had made this domain so hotly discussed today, one reason could be the existence of huge data sets to work upon.
Data science is a field that’s hotly discussed today among various spheres. If you’re wondering what drives this growing interest in the field, this simple piece of news can offer some insight. According to IBM, a whopping 2.7 million data scientist jobs will need to be filled by the year 2020, and the figure is just for the US. If you consider how businesses and organizations around the world are trying to derive meaningful and actionable insights from data they have collected over the years and building data science teams for the process, you can imagine how lucrative this field is likely to become in the near future. If you take a look at IBM’s predictive statistics, you’ll also understand how valuable a background in data science could become over the forthcoming years.
The job of data scientist is being considered as one of the hottest professions today. This has mainly happened because of the highly attractive data scientist salary that’s being offered by the organizations. As a result, a significant number of people from almost every walk of the tech landscape are thinking of a career change and planning to step into the data science landscape.
Data science has become the buzzword over the last few years. Companies and organizations in virtually every industry are looking to get the optimum value from their rapidly increasing information resources. As we are living today in a data-driven age where interconnected humans and devices are churning out a huge volume of data every second relentlessly, it has become necessary for organizations and companies to take optimum advantage of their internal data assets and scrutinize the integration of hundreds of third-party data sources.