数据分析将基本科学原理应用于大型复杂数据集的分析。这个快速增长的领域需要从业人员具有跨计算机科学，数学和统计学等核心学科的专业知识，并需要高度发展的批判性思维，问题解决和沟通技巧。数据分析包括识别，管理和表示大型复杂数据存储，如何抽象，建模和有效分析这些数据以及如何创建定量视觉提示以帮助解释和做出明智决策的必要技能。数据。通过了解广阔的信息环境，数据分析有可能“并且已经开始”改变我们理解和与世界互动的方式。
Data analytics applies fundamental scientific principles to the analysis of large, complex data sets. This rapidly growing field needs practitioners with expertise that cuts across core disciplines of computer science, mathematics and statistics and with highly developed critical-thinking, problem-solving and communication skills. Data analytics includes the set of skills necessary to identify how to manage, represent and manipulate large and complex data stores, how to abstract, model and effectively analyze such data, and how to create quantitative visual cues to help explain and make informed decisions from those data. By making sense of a vast information landscape, data analytics has the potential to-and is already starting to-transform the way we understand and interact with the world.