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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/introduction-to-tableau
课程评论：没有评论
课程名称：Tableau 入门 概述：Tableau 入门课程将使您理解数据可视化的价值。您将学习如何对数据进行预处理，以及如何在 Tableau Public 中结合来自同一数据源和其他数据源的多个表的数据。通过本课程，您将掌握利用数据可视化作为制定明智决策的强大工具的技能。 本课程适合对基础 Tableau 技能感兴趣的任何人，尤其是那些希望进入初级职位的人员。 课程大纲： 1. **Tableau Public 入门** - 本周，您将开始学习数据可视化的概述。具体而言，您将了解数据可视化是什么以及它们为何如此强大，从而成为发现和传达见解的关键资产。接下来，将重点介绍 Tableau，这是一款在分析行业中最受欢迎的数据可视化工具。您将在本模块中注册 Tableau Public 账户，并了解如何连接数据源，探索 Tableau 的不同组件。 2. **在 Tableau Public 中准备数据** - 数据准备是分析师进行重要分析的关键步骤。没有干净的数据，您可能会引导观众得出错误结论，从而损害您的可信度，甚至可能造成伤害。数据清理不是完美的过程，分析师应当始终“质疑一切”，尤其是自己的数据。本模块将教授如何在 Tableau 中进行有效的数据准备，以确保数据可视化能够正确传达信息。切记，只有干净、准备充分的数据，数据可视化才能得出合理的结论。 3. **Tableau Public 中的多个数据源** - 随着全球数据量的急剧增长，组合数据源的需求变得日益重要。理解如何组合数据源将为新的研究领域打开大门。作为分析师，您在日常工作中通常需要结合多个数据源，以寻求新的有洞察力的数据可视化。若要在 Tableau 中连接数据源，连接的数据量会影响数据可视化的性能，因此 Tableau 提供了多种组合数据的方法，以帮助分析师优化工作流程，并创建更高效的数据可视化。 通过以上课程内容，学员将能够熟练运用 Tableau 进行数据可视化分析，并为以后的数据分析工作奠定坚实基础。
Name:Introduction to Tableau Public
Description:Welcome to the first week of the course! This week, you’ll start with a high-level overview of data visualizations. Specifically, you'll learn what they are and what makes them so powerful and — as a result — why they are such a vital asset when it comes to not only discovering insights but also communicating those insights with stakeholders. The focus will then shift to Tableau, one of the most popular data visualization tools in the analytics industry. In this module, you’ll get signed up with a Tableau Public account and then dive right in by connecting to a data source and exploring the different components of Tableau.
Name:Prepare Data in Tableau Public
Description:As an analyst, data preparation is the most important step for impactful analysis. Without clean data, you can lead an audience to incorrect conclusions, which can ultimately undermine your credibility and even potentially cause harm. Data cleaning is not a perfect process — a good motto for all analysts is "Question everything!" (Especially your data.) Data preparation is also an iterative process. You start by wrangling dirty data but then move on to smaller, more intentional data preparation — usually to finalize your analysis or prepare your data for an audience. Preparing data in Tableau requires a different, more design-oriented level of scrutiny when compared with file or database cleaning to finalize the data for presentation purposes. This module will teach you concepts that must be implemented in a professional environment, especially if a data visualization is intended for presentation. Remember, without clean, well-prepared data, data visualizations can point to incorrect conclusions.
Name:Multiple Data Sources in Tableau Public
Description:As the amount of data in the world exponentially grows, the need for combining data sources becomes ever more critical. Understanding how to combine data sources opens whole new areas of study. As an analyst, your daily tasks will often include combining various data sources in search of new insightful visualizations. When it comes to connecting data sources in Tableau, the amount of data you are connecting can affect the performance of your data visualizations. Because of this, Tableau offers multiple ways to combine data that help analysts optimize workflow and create more efficient data visuals.
The Introduction to Tableau course will give you an understanding of the value of data visualizations. You will learn how to preprocess data and how to combine data from multiple tables found within the same data source as well as other data sources in Tableau Public. You will have developed the skills to leverage data visualization as a powerful tool for making informed decisions. This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as b
