A Crash Course in Data Science

开始时间: 12/21/2023 持续时间: 1 week of study, 4-6 hours

所在平台: Coursera

课程主页: https://www.coursera.org/learn/data-science-course

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By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials. This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. The role of a data science manager Course cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT

课程大纲

Name:A Crash Course in Data Science

Description:This one-module course constitutes the first "week" of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science.

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课程简介

到目前为止,您肯定已经听说过数据科学和大数据。在这个为期一周的课程中,我们将提供一个速成课程,了解这些术语的含义以及它们如何在成功的组织中发挥作用。本课程适用于任何想要了解所有数据科学行动的人,包括那些最终需要管理数据科学家的人。我们的目标是让你尽快掌握数据科学的速度,而不是一头雾水。我们在不牺牲任何基本要素的情况下,将本课程设计得尽可能方便。这是一门重点课程,旨在让您快速了解数据科学领域。我们的目标是在不牺牲任何基本内容的情况下让您尽可能方便。我们将技术信息放在一边,以便您可以专注于管理您的团队并推动团队向前发展。完成本课程后,您将知道。 1. 如何描述数据科学在各种环境中的作用 2. 统计学、机器学习和软件工程如何在数据科学中发挥作用 3. 如何描述数据科学项目的结构 4. 了解关键术语和工具由数据科学家使用 5. 如何识别成功和不成功的数据科学项目 3. 数据科学经理的角色 r2hox 的课程封面图片。知识共享 BY-SA:https://flic.kr/p/gdMuhT

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数据科学速成课程

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