Coursera 笔记

Module 03 · Applications and Careers in Data Science

Glossary: Data Science Application Domains术语表:数据科学应用领域

Coursera ↗

Welcome! This alphabetized glossary contains many of the terms in this course. These terms are important for you to recognize when working in the industry, participating in user groups, and participating in other certificate programs.
欢迎!本按字母顺序排列的术语表包含了本课程中的许多术语。这些术语对于您在行业内工作、参与用户组以及参与其他证书项目时识别非常重要。

Term  术语 Definition  定义 Video where the term is introduced
介绍该术语的视频
Arithmetic Models  算术模型 Data science often uses Mathematical models to analyze data and predict outcomes.
数据科学经常使用数学模型来分析数据并预测结果。
Old problems, new data science solutions
老问题,新数据科学解决方案
Case study  案例研究 In-depth analysis of an instance of a chosen subject to draw insights that inform theory, practice, or decision-making.
对所选主题的实例进行深入分析,以获取能够指导理论、实践或决策的见解。
Old problems, new data science solutions
老问题,新数据科学解决方案
Data mining  数据挖掘 Extracting information from raw data, such as making decisions, predicting trends, or understanding phenomena.
从原始数据中提取信息,例如做出决策、预测趋势或理解现象。
How Data Science is Saving Lives
数据科学如何挽救生命
Data Science  数据科学 The field involves collecting, analyzing, and interpreting data to extract valuable insights and make informed decisions.
该领域涉及收集、分析和解释数据,以提取有价值的见解并做出明智的决策。
Old problems, new data science solutions
老问题,新的数据科学解决方案
Data Strategy  数据战略 A plan that outlines how an organization will collect, manage, and use data to achieve its goals.
一个计划,概述了组织将如何收集、管理和使用数据以实现其目标。
Old problems, new data science solutions
旧问题,新的数据科学解决方案
Predictive analytics  预测分析 Using data, algorithms, models, and machine learning to make predictions.
使用数据、算法、模型和机器学习进行预测。
How Data Science is Saving Lives
数据科学如何挽救生命