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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-collection-framework
课程评论：没有评论
课程名称：数据收集与分析框架 课程概述：本课程将为您提供现有数据产品的概述，帮助您理解数据收集的全景。通过各种实例，您将学习如何识别与研究问题相匹配的数据源，如何将研究问题转化为可测量的组成部分，以及如何思考分析计划。此外，本课程将提供一个通用框架，使您不仅能理解成功的数据收集与分析所需的每个步骤，还能帮助您识别与不同数据源相关的错误。您将学习一些量化潜在错误的指标，从而掌握描述数据源质量的工具。最后，我们将介绍由私营企业和政府机构进行的不同大规模数据收集工作，并通过这些实例回顾所学概念。此课程适合初学者以及对某一特定数据源了解但对其他数据源知之甚少的学习者，帮助他们寻找评估数据产品的通用框架。 课程大纲： 1. **研究设计与数据源** - 描述：这一模块概述了接下来的主题。模块引导您了解数据收集与分析的过程。从研究问题和现有数据源的回顾开始，我们涵盖了调查数据收集技巧，突出数据管理的重要性，并讨论了一些在处理样本数据时可能影响数据分析的基本特征。数据访问问题及其相关资源将在本模块中介绍。 2. **测量与分析计划** - 描述：在本模块中，我们将强调制定明确的研究问题和分析计划的重要性。我们将提供各种数据收集策略的概述、多种数据收集模式以及选择合适模式的一些思考。 3. **质量框架** - 描述：在此模块中，您将被介绍一个通用框架，它不仅使您理解成功的数据收集与分析所需的每个步骤，还帮助您识别与不同数据源相关的错误。您将学习一些量化每个潜在错误的指标，从而掌握描述数据源质量的工具。 4. **TSE框架在现有调查中的应用** - 描述：在此模块中，我们介绍若干主题的调查。我们强调每项调查的数据收集特征。这些调查涵盖多种主题。我们挑战您思考替代的数据源，以收集相同的信息或见解。
Name:Research Designs and Data Sources
Description:The first course in the specialization provides an overview of the topics to come. This module walks you through the process of data collection and analysis. Starting with a research question and a review of existing data sources, we cover survey data collection techniques, highlight the importance of data curation, and discuss some basic features that can affect your data analysis when dealing with sample data. Issues of data access and resources for access are introduced in this module.
Name:Measurements and Analysis Plan
Description:In this module we will emphasize the importance of having a well-specified research question and analysis plan. We will provide an overview over the various data collection strategies, a variety of available modes for data collection and some thinking on how to choose the right mode.
Name:Quality Framework
Description:In this module you will be introduced to a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also helps you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source.
Name:Application of TSE Framework to Existing Surveys
Description:In this module we introduce a few surveys across a variety of topics. For each we highlight data collection features. The surveys span a variety of topics. We challenge you to think about alternative data sources that can be used to gather the same information or insights.
This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Furthermore this course will provide you with a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products.
