Data science is a set of techniques and skills that allow you to extract useful information from massive quantities of raw data. It involves a broad spectrum of tools and techniques that include predictive analytics artificial intelligence natural language processing visualization of data, and many more. Its importance in the business world is widely acknowledged, and its practitioners are highly sought-after.
In the present, data science is used in almost every sector and, in some instances, it is central to the strategies and operations of an business. Data science assists businesses in creating better marketing campaigns and more targeted advertising for their products. It assists in reducing financial risk by detecting fraud and prevents equipment failures in manufacturing and industrial factories. It also assists in blocking cyber attacks as well as other security threats to IT systems.
As an example the algorithms that follow customers on digital billboards as well as social media platforms can determine the habits of a person’s shoppers. Marketers can then modify their messages according to this information. This improves conversion rates and leads to more ROI for marketers.
In the field of medicine, the ability to visualize, analyze and interpret large volumes of information about patients has helped doctors identify illnesses and develop new treatments more precisely. They can also practice preventive medicine, and research treatment options faster.
Data science could be utilized in a way that can have serious ethical implications. For instance the COMPAS Recidivism Risk Score used by many law enforcement agencies to predict future criminality may be biased against African-Americans according to ProPublica.