Power BI: Data Cleaning, Transformation, and Visualization

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Power BI: Data Cleaning, Transformation, and Visualization

This course is part of Microsoft Power BI: Data Analysis Professional Specialization

Instructor: Bill Rosenthal

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Clean, transform, and merge data using the Power BI Query Editor.
Create and format maps, scatter charts, and custom AppSource visuals.
Enhance report navigation using custom themes, pages, and tooltips.
Data files for this course are provided in the first course of this specialization, "Power BI: Data Analysis, Reporting, and Connecting".

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Microsoft Power BI: Data Analysis Professional Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

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.

What's included

1 reading6 plugins

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.

What's included

4 plugins

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.

What's included

4 plugins

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

What's included

1 reading1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Bill Rosenthal

Logical Operations

158 Courses39,971 learners

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Logical Operations

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Frequently asked questions

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.