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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/tools-exploratory-data-analysis-business
课程评论：没有评论
课程名称：商业领域探索性数据分析工具 课程概述：本课程介绍了多种处理业务数据的工具，以获取可行的洞察。最重要的工具是数据分析师的思维方式。因此，在本课程中，您将探讨具备用于分析的思维方式的含义。您还将练习识别可以通过数据分析回答的商业问题。接着，您将学习使用各种软件平台提取、转换和加载（ETL）数据，以便进行探索性数据分析（EDA）。具体来说，您将练习使用PowerBI、Alteryx和RStudio进行ETL和EDA过程。 学习成果： 1. 培养解决商业问题的分析思维。 2. 能够通过总结统计和数据可视化来评估数据集对解决商业问题的价值。 3. 熟练操作商业分析软件应用进行探索性数据分析。 课程大纲： - 课程导向与模块1：分析思维 描述：您的思维是最重要的工具。通过学习各种思维方式和术语，为解决商业分析问题做好心理准备。 - 模块2：使用PowerBI的ETL和EDA 描述：PowerBI非常适合数据的汇总和可视化。在本模块中，我们将使用PowerBI准备Teca数据以进行分析，并通过各种图表对数据进行可视化探索。 - 模块3：使用RStudio的ETL和EDA 描述：在RStudio中使用R来加载、转换、清理和探索数据。 - 模块4：使用Alteryx的ETL和EDA 描述：Alteryx非常适合直观记录数据分析工作流。在本模块中，我们将使用Alteryx汇总Teca数据，并通过图表和表格对数据进行探索。
Name:Course Orientation and Module 1: Analytics Mindset
Description:Your mind is the most important tool. Prepare your mind by learning about various mindsets and terms for approaching business analytic problems.
Name:Module 2: ETL and EDA Using PowerBI
Description:PowerBI is great for both data assembly and visualization. In this module we will use PowerBI to prepare the Teca data for analysis, and then visually explore that data with various charts.
Name:Module 3: ETL and EDA Using RStudio
Description:Using R in RStudio to load, transform, clean, and explore data
Name:Module 4: ETL and EDA Using Alteryx
Description:Alteryx is great for visually documenting the data analytic workflow. In this module we will use Alteryx to assemble the Teca data and explore it with plots and tables.
This course introduces several tools for processing business data to obtain actionable insight. The most important tool is the mind of the data analyst. Accordingly, in this course, you will explore what it means to have an analytic mindset. You will also practice identifying business problems that can be answered using data analytics. You will then be introduced to various software platforms to extract, transform, and load (ETL) data into tools for conducting exploratory data analytics (EDA). Specifically, you will practice using PowerBI, Alteryx, and RStudio to conduct the ETL and EDA processes. The learning outcomes for this course include: 1. Development of an analytic mindset for approaching business problems. 2. The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations. 3. The ability to competently operate business analytic software applications for exploratory data analysis.
