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A First Course in Data Science

机译：数据科学第一门课程

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Data science is a discipline that provides principles, methodology, and guidelines for the analysis of data for tools, values, or insights. Driven by a huge workforce demand, many academic institutions have started to offer degrees in data science, with many at the graduate, and a few at the undergraduate level. Curricula may differ at different institutions, because of varying levels of faculty expertise, and different disciplines (such as mathematics, computer science, and business) in developing the curriculum. The University of Massachusetts Dartmouth started offering degree programs in data science from Fall 2015, at both the undergraduate and the graduate level. Quite a few articles have been published that deal with graduate data science courses, much less so dealing with undergraduate ones. Our discussion will focus on undergraduate course structure and function, and specifically, a first course in data science. Our design of this course centers around a concept called the data science life cycle . That is, we view tasks or steps in the practice of data science as forming a process, consisting of states that indicate how it comes into life, how different tasks in data science depend on or interact with others until the birth of a data product or a conclusion. Naturally, different pieces of the data science life cycle then form individual parts of the course. Details of each piece are filled up by concepts, techniques, or skills that are popular in industry. Consequently, the design of our course is both “principled” and practical. A significant feature of our course philosophy is that, in line with activity theory, the course is based on the use of tools to transform real data to answer strongly motivated questions related to the data.
机译：数据科学是一门学科，提供用于分析工具，价值或见解的数据的原理，方法和准则。在巨大的劳动力需求的推动下，许多学术机构已经开始提供数据科学学位，其中许多是研究生，而一些是本科。在不同的机构中，课程的设置可能会有所不同，这是因为教师的专业水平各不相同，并且在开发课程时使用了不同的学科（例如数学，计算机科学和商业）。从2015年秋季开始，马萨诸塞州达特茅斯大学开始在本科和研究生级别提供数据科学学位课程。已经发表了许多有关研究生数据科学课程的文章，而涉及本科生的文章则少得多。我们的讨论将侧重于本科课程的结构和功能，尤其是数据科学的第一门课程。本课程的设计围绕着称为“数据科学生命周期”的概念。就是说，我们将数据科学实践中的任务或步骤视为一个过程，由状态指示生命状态，数据科学中的不同任务如何依赖或与其他人交互，直到数据产品或产品的诞生。结论。自然地，数据科学生命周期的不同部分将构成课程的各个部分。每件作品的细节都由行业中流行的概念，技术或技能填充。因此，我们课程的设计既“原则”又实用。我们课程哲学的一个重要特征是，根据活动理论，该课程基于使用工具来转换真实数据以回答与数据相关的强烈动机的问题。

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