Data Science is the buzzword for the current and perhaps the next few generations. If you want to read about Data science, this blog will certainly help you. While everyone is going gaga about data science and how to become a data scientist, it is important you know the difference between being a data scientist and a data analyst.
Data analytics is a subset of data science that deals with gathering and analyzing data and then applying various techniques to convert the same into meaningful information usable for decision-making and enhancing productivity for a business.
Data science and data analytics are among the top career avenues in the 21st century. In the present data-savvy world, the possibilities pertaining to data analytics are immense. With the right knowledge and skills, you can grab lucrative work opportunities.
Data is the new precious Oil in today’s business world. Data is a critical input for business decisions and it can impact the growth of organizations. As said by Charlie Berger of Oracle Corporation, “Without proper analysis, data is just text and numbers and not useful to derive actionable information. It is something that you can exploit today and something that your competitor may not have yet discovered.”