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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/analyzing-and-visualizing-data-in-looker
课程评论：没有评论
课程名称：在Looker中分析和可视化数据 课程概述：本课程将教您如何在Looker平台上进行数据探索和分析，这些操作以前主要由SQL开发人员或分析师进行。完成本课程后，您将能够利用Looker的现代分析平台，寻找并探索您组织Looker实例中的相关内容，提出数据问题，根据需要创建新指标，并构建和共享可视化和仪表板，以促进基于数据的决策。 课程大纲： 1. Looker平台 - 说明：本模块提供Looker用户界面的概述及其数据探索者的关键组成部分。 2. 数据分析基本构件 - 说明：本模块回顾了三种数据分析的基本构件 - 维度、度量和过滤器。 3. 处理Looker内容 - 说明：本模块探讨使用仪表板进行多个可视化和策划Looker内容的看板。 4. 自定义探索 - 说明：本模块探讨在Looker中对数据进行透视，将选定的维度转换为多个列。同时本模块覆盖了编写表计算以即时创建新指标和偏移计算以编程引用查询结果中其他行或列的值以计算新值的方法。 5. 创建新的Looker内容 - 说明：本模块探讨如何创建单个独立报告（Looks）和仪表板，可用于组合单个可视化。 6. 与他人共享Looker数据 - 说明：本模块探讨如何共享或导出Looker中的内容。 通过本课程，学员将提升其数据分析能力，掌握Looker的使用，从而为决策提供有力的数据支持。
Name:The Looker platform
Description:This module provides an overview of the Looker user interface and its key components for data explorers.
Name:Data analysis building blocks
Description:This module reviews three data analysis building blocks - dimensions, measures, and filters.
Name:Working with Looker content
Description:This module explores the use of dashboards for multiple visualizations and boards to curate Looker content.
Name:Customizing Explores
Description:This module explores pivoting data in Looker to turn a selected dimension into several columns. The module also covers the writing of table calculations to instantaneously create new metrics and offset calculations to programmatically reference values from other rows or columns in your query results to calculate new values.
Name:Creating new Looker content
Description:This module explores the creation of single, stand-alone reports (Looks) and dashboards, which can be used to combine individual visualizations.
Name:Sharing Looker data with others
Description:This module explores how you can share or export content from Looker.
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
