Data science is the set of processes and skills that allow you to extract useful information from massive amounts of raw data. It encompasses a variety of tools and techniques including predictive analytics, artificial intelligence as well as natural language processing and data visualization. Its importance is widely acknowledged in the business world, and its practitioners are in demand.
Data science is being employed increasingly in all industries. In certain instances it’s a crucial part of the operation and strategy of an organization. Data science aids businesses in constructing more effective marketing campaigns and targeted advertising for their products. It aids in managing financial risks by detecting fraudulent transactions and preventing equipment malfunctions in manufacturing facilities as well as other industrial settings. It is also helping block cyberattacks and other security threats within IT systems.
For instance the algorithms that follow customers on digital billboards and social media platforms can identify the habits of a person’s shoppers. Marketers can then tailor their messages based on this information. This helps improve customer conversion rates, which results in higher ROI for marketers.
In the medical field, the ability to visualize and analyze large volumes of patient data has allowed doctors to develop new treatments and diagnose diseases more precisely. It also allows them to practice preventive medicine and explore treatment options more quickly.
However some of the most disturbing applications of data science can cause serious ethical issues. For instance, the COMPAS Recidivism Risk Score used by many law enforcement agencies to predict the likelihood of future criminality is biased against African-Americans According to ProPublica.