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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/business-intelligence-visual-analytics
课程评论：没有评论
课程名称：商业智能与视觉分析 课程概述：本课程在“数据仓库与商业智能”的基础上，专注于数据可视化和视觉分析。课程开始时详细介绍了数据可视化的概念及不同目的下合适的可视化类型，随后迅速切入实际技能和视觉分析知识的培养，使用一种最流行的视觉分析工具：SAS Viya，这是一种基于云的分析平台。同时，还将概述云架构、自动化和机器学习的相关知识。 课程大纲： 1. **数据可视化与视觉分析** 本模块介绍了在商业报告中数据可视化的必要性，识别数据可视化的好处，并区分不同类型的数据可视化。还将概述视觉分析及其工具的生态。同时，通过活动，我们将描述有效的可视化方式，并如何基于可用的数据点提取价值和洞察。 2. **视觉分析基础与SAS Viya平台** 本模块提供对SAS视觉分析和SAS Viya的介绍，识别SAS视觉分析的阶段和功能，通过活动识别特定数据集可能有用的报告类型，并描述在SAS数据工作室中导入数据集的过程。 3. **使用SAS Viya开发高级可视化** 本模块介绍了如何使用SAS Viya创建数据可视化，识别SAS视觉分析的关键功能，并学习SAS中的关键功能，了解它们之间的差异。通过活动，我们将创建交互式数据报告，并描述从数据报告中衍生的价值和洞察。 4. **高级商业智能与数据仓库主题** 在本模块中，我们将定义机器学习，识别大数据的关键驱动因素，并列出基于云的架构的优势。课程的最终作业将在这一模块完成，我们将设计并实施一个SAS视觉分析仪表板，通过数据讲述一个连贯的故事，并从可视化仪表板的互动中提取洞察。同时，我们将通过对他人仪表板的同行评审来练习我们的视觉分析新技能。
Name:Data Visualization and Visual Analytics
Description:Welcome to Module 1, Data Visualization and Visual Analytics. In this model, we will go over the need for data visualization in business reporting. We will identify the benefits of data visualization as well as differentiate between types of data visualizations. We will also overview visual analytics and the landscape of visual analytics tools. Finally, in our activity, we will describe an effective visualization and how to derive value and insight based on available data points.
Name:Visual Analytics Basics and SAS Viya Platform
Description:Welcome to Module 2, Visual Analytics Basics and SAS Viya Platform. This module provides an introduction to SAS Visual Analytics and SAS Viya. Through this module, we will identify the phases and select the features of SAS Visual Analytics. In our activity, we will identify the types of reports that could be useful for specific datasets. We will also describe the import process for datasets in SAS Data studio.
Name:Developing Advanced Visualizations with SAS Viya
Description:Welcome to Module 3, Developing Advanced Visualizations with SAS Viya. Through this module, we will go over how to use SAS Viya to create data visualizations. We will identify key features and functions of SAS Visual Analytics. We will also learn key functions in SAS and be able to differentiate between their functionalities. Finally, in our activity, we will create interactive data reports and describe the value and insights that can be derived from data reports.
Name:Advanced Business Intelligence and Data Warehousing Topics
Description:Welcome to Module 4, Advanced Business Intelligence and Data Warehousing Topics. In this final module, we will define machine learning, identify the key enablers of big data, and list the advantages of cloud-based architectures. Our course (and specialization) culminates in this module’s graded assignment. In it, we will design and implement a dashboard in SAS Visual Analytics, tell a cohesive story through data, and derive insights from interaction on a visualization dashboard. We will also practice our new skills in visual analytics by peer reviewing other’s dashboards.
Building on “Data Warehousing and Business Intelligence,” this course focuses on data visualization and visual analytics. Starting with a thorough coverage of what data visualization is and what type of visualization is good for a given purpose, the course quickly dives into development of practical skills and knowledge about visual analytics by way of using one of the most popular visual analytics tools: SAS Viya, a cloud-based analytics platform. An overview of cloud architecture, automation, and machine learning is also provided.
