HISTORY OF DATA SCIENCE
Everything started with data with a view to use data in a better way. Then operations research started to be utilized in which algorithms were introduced in order to deal with the problems and find the answers for them.
Statistics and all of the records became automatic that created the method for artificial intelligence and information evaluation to be developed. The present era of data evaluation, which also led to the evolution of the internet, is that the golden age of this science fiction. Get more details about data science visit: https://www.actionx.com.au/artificial-intelligence
CHALLENGES IN DATA SCIENCE
With this time period, the analysis seems universal and globally successful. But, there are certain issues as well which have to be overcome in order to improve them.
Certain challenges in the sphere of information science are data quality, data amount, and the requirement for reliable applications, lack of funds, company rules/politics and privacy concerns.
IMPORTANCE OF DATA SCIENCE
It makes life easy and helps to handle everything at your fingertips. It powers the business value by enabling better business decisions.
Nowadays, many companies have openings to get a data scientist which increases the demand for data professionals who has sufficient knowledge of how to deal with the massive quantity of saved information on customers. It is generating job opportunities for interested individuals.