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Excel: Statistical Analysis and Data Transformation

Excel: Statistical Analysis and Data Transformation

本课程是 Data Analysis and Visualization with Microsoft Excel 专项课程的一部分

位教师：Bill Rosenthal

包含在中

了解更多

3个模块

深入了解一个主题并学习基础知识。

3 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

3 小时完成

灵活的计划

自行安排学习进度

您将学到什么

In this course, you will perform statistical analysis and get and transform data using Excel.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Data Analysis and Visualization with Microsoft Excel 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有3个模块

In this course, you'll continue to develop your data-analysis skills in Excel by performing statistical analysis with trendlines, sparklines, and using the Analysis ToolPak. You'll also connect to data and transform that data to ensure it is clean and in the optimal state.

单元详情

While Microsoft® Excel® gives you many tools for analyzing data, sometimes there's so much data it's not efficient to work with. In those cases, you need a methodology for taking samples that represent the larger data picture, and working with them to find the insights you're looking for.

涵盖的内容

1篇阅读材料4个插件

The more complex your data analysis becomes, the more you will need to focus on well-defined segments of data. To do that, you need to refine the data from the moment you bring it into Microsoft® Excel®. Excel provides rich features that enable you to select just the data you want, and bring it into Excel in the format you need. Learning the concepts behind getting and transforming data in this way will take your data analysis skills to the next level.