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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-science-as-a-field
课程评论：没有评论
课程名称：数据科学领域概述 课程概述：本课程为数据科学领域提供了一般性的介绍，旨在为有志成为数据科学家的学员、与数据科学家合作的内容专家以及任何希望了解数据科学及其应用的人士设计。每周的主题包括数据科学家所需的技能概述、数据科学过程及其可能的陷阱，以及数据科学在专业和学术领域的实践。本课程是科罗拉多大学波尔德分校（CU Boulder）数据科学硕士学位的一部分，由学术界和行业专业人士共同设计，为学习者提供了这一令人兴奋、不断发展的重要学科的内部视角。 课程大纲： 第一部分：数据科学导论：新学科的过去、现在和未来 本周我们将谈论数据科学的过去、现在和未来。数据科学的增长得益于互联网、社交媒体和在线购物的普及，以及数据存储能力的快速提升。您将观看几个短视频，并参与有关数据科学未来的讨论。 第二部分：数据科学在行业、政府和学术界的应用 本周您将观看视频并阅读有关数据科学在行业和学术界应用的材料。您将听到来自不同领域的数据科学家的经验，了解他们如何使用数据科学。 第三部分：数据科学过程及其陷阱 本周您将学习可重现性的重要性及其实现方法、数据分析过程的各个步骤，以及数据科学中的可能陷阱。您将观看演示各步骤的数据科学过程，并尝试在不同的数据集上应用这些过程。 第四部分：结果传播 本周您将了解传播结果的重要方法。我们将讨论关于演示和报告的重要事项。您还将学习网络的重要性并进行实践。 课程可以作为科罗拉多大学波尔德分校数据科学硕士学位的一部分获得学分。MS-DS是一个跨学科的学位，汇集了应用数学、计算机科学、信息科学等多个部门的教师。该课程适合具有广泛本科学历和/或计算机科学、信息科学、数学和统计等专业经验的个人。有关MS-DS项目的更多信息，请访问： https://www.coursera.org/degrees/master-of-science-data-science-boulder。
Part: 1
Title:Introduction to Data Science: the Past, Present, and Future of a New Discipline
Description:This week we will talk about the past, present and future of data science. The growth of data science has been fueled by the growth of the internet, social media and online shopping as well as by the rapid increases in data storage capabilities. You will watch several short videos and participate in discussions about the future of data science.
Part: 2
Title:Data Science in Industry, Government, and Academia
Description:This week you will watch videos and have a reading on some applications of data science in industry and academia. You will hear from data scientists in different fields to find out how they use data science.
Part: 3
Title:Data Science Process and Pitfalls
Description:This week you will learn about the importance of reproducibility and how to achieve it, learn the steps in a data analysis process and learn about the possible pitfalls in data science. You will watch demonstrating the various steps in the data science process and try out these processes for yourself on a different dataset.
Part: 4
Title:Communicating Your Results
Description:This week you will learn about important ways of communicating your results. We will discuss the important things to know about presentations and reports. You will also learn about the importance of networking and try it out.
This course provides a general introduction to the field of Data Science. It has been designed for aspiring data scientists, content experts who work with data scientists, or anyone interested in learning about what Data Science is and what it’s used for. Weekly topics include an overview of the skills needed to be a data scientist; the process and pitfalls involved in data science; and the practice of data science in the professional and academic world. This course is part of CU Boulder’s Master’s of Science in Data Science and was collaboratively designed by both academics and industry professionals to provide learners with an insider’s perspective on this exciting, evolving, and increasingly vital discipline. Data Science as a Field can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
