Data science is a set of skills and processes that help extract meaningful information from vast amounts of raw data. It involves a broad spectrum of techniques and tools that include predictive analytics artificial intelligence, natural language processing, visualization of data, and much more. Its significance in the world of business is widely recognized, and its practitioners are highly sought-after.
Data science is used more and more in almost every industry. In certain instances it’s an integral part of the strategy and operations of an company. It helps businesses develop stronger marketing campaigns and better determine the best time to advertise their products. It helps manage financial risks by identifying fraud and making sure that equipment fails in manufacturing and industrial factories. It also helps block cyber attacks and other security threats in IT systems.
For instance an example, the algorithms that track customers on digital billboards as well as social media platforms can identify a person’s shopping habits. Marketers can then customize their messages according to this information. This helps increase conversion rates and leads to higher ROI for marketers.
In the medical field the ability to visualize, analyze and interpret large amounts of patient information has helped doctors diagnose diseases and develop new treatments with greater accuracy. It also has allowed doctors to perform preventive medicine and investigate the options for treatment more quickly.
Data science can be utilized in a manner that has serious ethical implications. According to ProPublica, the COMPAS Recidivism Risk score used by law enforcement agencies across the country to predict future crimes could be biased against African-Americans.