Power BI: Data Cleaning, Transformation, and Visualization

通过 Coursera Plus 提高技能，仅需 239 美元/年（原价 399 美元）。立即节省

Power BI: Data Cleaning, Transformation, and Visualization

本课程是 Microsoft Power BI: Data Analysis Professional 专项课程的一部分

位教师：Bill Rosenthal

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

6 小时完成

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

6 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 data cleaning, profiling, and shaping; visualize data; and enhance visualizations in Power BI.

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 Microsoft Power BI: Data Analysis Professional 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4个模块

In this course, you'll continue analyzing data using Power BI by cleaning, profiling, and shaping data. You'll also create data visualizations and customize those visualizations to ensure they are clear and tell the story you're trying to tell.

Connecting to data and establishing relationships to build a data model does not mean that you're ready to start analyzing or visualizing data. Data sources often contain extraneous, unwanted, or unneeded information, or information that needs to be adjusted in some way for analysis. In this lesson, you will perform cleaning, profiling, and shaping to prepare your semantic models for analysis and visualization.

涵盖的内容

1篇阅读材料6个插件

Now that you've prepared your data for analysis, it's time to start building visualizations that will help you see trends, patterns, and correlations in the data. In this lesson, you will visualize data with Microsoft® Power BI® Desktop.

涵盖的内容

4个插件

Although visuals that showcase insights from data are often the focal point of the reports created with Microsoft® Power BI®, you can enhance your visuals to make them clearer, and to make the story you're trying to tell stand out. In this lesson, you will enhance data analysis.

涵盖的内容

4个插件

You'll wrap things up and then validate what you've learned in this course by taking an assessment.

涵盖的内容

1篇阅读材料1个作业

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Bill Rosenthal

Logical Operations

156 门课程24,949 名学生

提供方

Logical Operations

从 Data Analysis 浏览更多内容

状态：免费试用
Whizlabs
Power BI: Data Analytics and Data Preparation
课程
Packt
Master in Microsoft Power BI Desktop and Service
课程
状态：免费试用
Packt
Data Preparation and Visualization with Power BI
课程
状态：免费试用
EDUCBA
Analyze and Visualize Business Data with Power BI
课程

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

了解更多

通过在线学位推动您的职业生涯

获取世界一流大学的学位 - 100% 在线

探索学位

加入超过 3400 家选择 Coursera for Business 的全球公司

提升员工的技能，使其在数字经济中脱颖而出

了解更多

常见问题

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.