Evolution of Data Science: Growth & Innovation
Data science is an expansive field which has rapidly grown over the past several decades. With the development of technologies such as analytics and machine learning, data science has become increasingly important to modern applications all around the world. From medical research to market analysis, having access to powerful data processing tools and insights can make a world of difference in any given industry. When talking about data science, it’s useful to take a look at its history. Although data science began in ancient times, it was officially coined in 1989 by American computer scientist and statistician William Seltzer. Since then, it has evolved into the use of advanced statistics, predictive modelling, computer programming, and other innovative techniques today. Nowadays, modern applications of data science have enabled businesses everywhere to better understand their customers and target them more effectively with their marketing efforts. Data-driven analytics pl...