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所在平台: Udemy |
课程主页: https://www.udemy.com/course/forecasting-and-time-series-analysis-in-tableau/
课程评论：没有评论
**课程名称：** Tableau 中的预测与时间序列分析 **课程概述：** 本课程旨在教授学员如何在 Tableau 中有效处理时间序列数据，并利用 Tableau 的内置预测功能创建出色的可视化。课程还将深入探讨如何集成 R 语言和 ARIMA 模型，以实现更高级的预测分析。 **课程内容亮点：** * **时间序列数据基础：** 掌握时间序列数据的基本概念、数据角色以及时间相关函数的应用。 * **移动平均法：** 学习广泛应用于时间序列分析的移动平均技术。 * **时间序列过滤：** 掌握在 Tableau 中进行时间相关的过滤操作。 * **自定义函数与参数：** 学会编写自定义函数和创建参数，增强数据分析的灵活性。 * **Tableau 内置预测：** 深入研究 Tableau 的指数平滑预测功能，包括理解预测结果和手动调整预测设置。 * **R 语言集成与 ARIMA 模型：** * 介绍如何在 Tableau 中集成 R 语言，无需 R 语言基础即可进行高级建模。 * 详细讲解如何使用 R 的 forecast 包进行 ARIMA 建模，并将其结果集成到 Tableau 可视化中。 * **实战演练：** 通过大量练习巩固所学知识，确保学员能够独立完成时间序列分析和预测任务。 **课程目标受众：** * 对 Tableau 有一定基础，能够熟练导入数据和导航界面。 * 希望提升在 Tableau 中进行时间序列分析和预测能力的用户。 * 对高级预测技术（如 ARIMA 模型）感兴趣，并希望将其应用于 Tableau 分析的学员。 **先修知识：** * 熟悉 Tableau 的基本操作和界面。 * 不需要 R 语言编程经验，课程将提供详细的指导。 **课程价值：** * 掌握 Tableau 中时间序列分析和预测的核心技能。 * 提升数据洞察力和预测能力，为职业发展提供有力支持。 * 学习如何运用先进的 R 语言预测模型，拓宽数据分析的边界。
Do you want to know how to handle time series in Tableau? Do you want to use Tableaus forecasting feature to get great visualizations? Or you probably want to know how to add extra forecasting features like ARIMA models to Tableau? Time based data has its own rules and implications. We will discuss these in Tableau. Quite often time series data is used to look into the future. Forecasting is the name of the game here. Luckily Tableau offers an exponential smoothing forecasting tool, which we will of course explore. Sometimes you might find that Tableau's internal forecasting tools are too limited. Well, for these instances I will show you how to integrate the R forecast package into Tableau to do ARIMA modeling. This whole process is so well implemented that it can be done without prior R knowledge. In one of the last sections I will show you how it's done, step by step. So what are you going to learn in the course? We start with the general knowledge you need to work with time series data. Especially data roles. We will then discuss moving averages which are widely used in time series analysis. And we will do some time based filtering. We will of course write our own functions, we will create parameters and you will also learn about the time based functions Tableau has to offer. Each of these things will be enforced with exercises. That is the first section, after that we will be forecasting with Tableau, that means exponential smoothing. I will show you how to read the results you get and how to manually modify the forecast settings. That is one way of forecasting in Tableau, but there is an advanced alternative. You can use R from within Tableau to perform advanced forecast modeling as we will learn in the last section of the course. So how do you best prepare for this course? Well, I built the course for people who already know a bit about Tableau. You should be able to get data into Tableau and to orient yourself in the interface. You should know the basics already. That way we can focus on time series and forecasting and we do not waste precious time on basic things you might already know. You do not need R skills, although it is an advantage. The methods outlined in the last section are explained in a way so that you can follow along easily. I hope you will enjoy this course - do not forget to add it to your CV, so that human resources knows that you train yourself on the latest technologies. Valuable skills are definitely a career booster.
