Data scientist has topped the list of best jobs in the U.S. for three years in a row, according to Glassdoor. Not only a huge demand exists for these professionals but there’s a significant amount of shortage too in getting qualified data scientists.
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.
You may already know that machine learning is all about developing mathematical models in order to comprehend data. Here, a diverse range of technology and tools is used to identify patterns among large datasets to improve a knowledge base or a particular process. Though the concept of machine learning isn’t new, with the emergence of big data, the technology is gaining a huge momentum these days.