Data science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, data mining, databases, and visualization.
Data science is a rapidly spreading field that combines statistical analysis, data management, computation, and substantive expertise, with the goal of improving decision-making in business, government, administration, law, and just about every other field.
One of the key challenges for decision-makers and managers is to understand what makes for good data science, and how the evidence from this field should be used in evaluation and decision-making.
In today’s world, many companies and organisations collect all sorts of data. They aim to extract useful information from it, to recognise patterns and anomalies. Data Science for Decision Making provides the mathematical tools to model and handle these datasets.
It has widespread applications in business and engineering, ranging from scheduling customer service agents and optimising supply chains, to modelling biological processes and extracting meaningful components from brain signals.
