Data-science

Data and Data science: Any system in operation requires input data to make it run. When it operates, the output can be collected in the form of relevant data no matter what the discipline is. Data seems to be the ever-existent component of the modern technology, which seems to poke its head everywhere. The Data in raw form may consist of thousands of values. Not all of this data is required though. Hence, data mining is performed in order to filter the useful component of the raw data. Further analysis of data is performed by means of analytics. Issues like drawing inferences from data and developing algorithms to solve complex problems come under the broad term of Data science. The data lies in the center of every process. A lot of information is hidden in data and is not visible at the first glance so that it has to be mined. Once the data is properly mined, a wealth of information can be extracted from it. The main purpose of datascience training is to use data to enhance bu