Data science is a relatively new field that is constantly evolving and rather difficult to define at times. At present, no company can afford to ignore the value of data in growing their business. For this reason, a growing number of companies are employing data scientists as individuals and in teams in order to make sense of the growing goldmine that is consumer and market data. In this article, we will explore the future demand of data scientists. Since the importance of data science in business was covered in another article, the focus here will be on the likely change in the nature of a data scientist ’ s day-to-day function. Job Losses Due to Automation Data scientists automate processes in order to streamline and simplify business and get the latest, most accurate results and insights in an instant. This has led many to believe that this field could be obsolete in the space of ten years, since data scientists would, in effect, automate themselves out of a job. These...
Correlation and Covariance are two commonly used statistical concepts majorly used to measure the linear relation between two variables in data. When used to compare samples from different populations, covariance is used to identify how two variables vary together whereas correlation is used to determine how change in one variable is affecting the change in another variable.