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Analysis and Visualization of Data with Power BI

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Analysis and Visualization of Data with Power BI

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Gain insight into a topic and learn the fundamentals.
4.8

24 reviews

Beginner level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.8

24 reviews

Beginner level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • How to add visualizations to reports and dashboards.

  • How to design accessible reports and dashboards.

  • How to use visualizations to perform data analysis.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

26 assignments

Taught in English

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • 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 6 modules in this course

In this course, you will learn report design and formatting in Power BI, which offers extraordinary visuals for building reports and dashboards. Additionally, you will learn how to use report navigation to tell a compelling, data-driven story in Power BI. You will explore how to get a statistical summary for your data and how to create and export reports in Power BI. You will also perform advanced analytics in Power BI to get deeper and more meaningful data insights.

After completing this course, you'll be able to: ● Recognize the different types of visualizations in Power BI ● Add visualizations to reports and dashboards ● Apply formatting choices to visuals ● Add useful navigation techniques to the Power BI report ● Design accessible reports and dashboards ● Use visualizations to perform data analysis

In this module, you'll be introduced to using visualization and reports in Microsoft Power BI to present data to stakeholders.

What's included

16 videos24 readings6 assignments2 discussion prompts

16 videosβ€’Total 100 minutes
  • Course introductionβ€’5 minutes
  • Analysis for Business Intelligenceβ€’7 minutes
  • What are visualizations?β€’7 minutes
  • Common visualizationsβ€’7 minutes
  • Creating a basic reportβ€’7 minutes
  • Table visualizationβ€’5 minutes
  • Bar and column chartsβ€’7 minutes
  • Line and area chartsβ€’7 minutes
  • Combo chartsβ€’6 minutes
  • Pie and donut chartsβ€’6 minutes
  • Treemapsβ€’6 minutes
  • Displaying Key Performance Indicatorsβ€’5 minutes
  • Ribbon and waterfall chartsβ€’6 minutes
  • Funnel chartsβ€’6 minutes
  • Scatter chartsβ€’8 minutes
  • Module summary: Creating Reportsβ€’5 minutes
24 readingsβ€’Total 260 minutes
  • Course syllabusβ€’10 minutes
  • How to be successful in this courseβ€’10 minutes
  • How to open an image in a new tabβ€’10 minutes
  • Setting up your Power BI environmentβ€’10 minutes
  • Setting up Power BI Serviceβ€’10 minutes
  • New name for Power BI datasetsβ€’10 minutes
  • Business intelligence cheatsheetβ€’10 minutes
  • How to locate your downloaded filesβ€’10 minutes
  • Additional resources: Key conceptsβ€’5 minutes
  • Explore business report typesβ€’10 minutes
  • Report Editor in Power BIβ€’10 minutes
  • Visualizations paneβ€’10 minutes
  • Exercise: Create a sales reportβ€’30 minutes
  • Exemplar: Create a sales reportβ€’10 minutes
  • Pinning visualizationsβ€’10 minutes
  • Additional resources: Introducing Visualizationsβ€’5 minutes
  • Activity: Using bars, columns, and linesβ€’10 minutes
  • Activity: Enhance the report with brand informationβ€’10 minutes
  • Targeted use of chartsβ€’10 minutes
  • Additional resources: Basic Visualizationsβ€’5 minutes
  • Exercise: Indicating business performanceβ€’30 minutes
  • Exemplar: Indicating business performanceβ€’10 minutes
  • Matrix visualizationβ€’10 minutes
  • Additional resources: Specialist Visualizationsβ€’5 minutes
6 assignmentsβ€’Total 94 minutes
  • Module quiz: Creating Reportsβ€’30 minutes
  • Self-review: Create a sales reportβ€’9 minutes
  • Knowledge check: Introducing Visualizationsβ€’15 minutes
  • Knowledge check: Basic Visualizationsβ€’15 minutes
  • Self-review: Indicating business performanceβ€’10 minutes
  • Knowledge check: Specialist Visualizationsβ€’15 minutes
2 discussion promptsβ€’Total 20 minutes
  • Discussion prompt: What do you hope to learn?β€’10 minutes
  • How would visualizing data help in business scenarios?β€’10 minutes

In this module, you will discover how to improve accessibility and user experience in reports.

What's included

15 videos10 readings5 assignments1 discussion prompt

15 videosβ€’Total 90 minutes
  • Accessibility in reportsβ€’7 minutes
  • Formatting and configuring visualizationsβ€’7 minutes
  • Conditional formattingβ€’6 minutes
  • Working with themesβ€’6 minutes
  • Adding custom tooltipsβ€’7 minutes
  • Report hierarchiesβ€’7 minutes
  • Report drillthroughβ€’5 minutes
  • Sorting and filtering data in reportsβ€’7 minutes
  • Cross-filter and cross-highlightβ€’6 minutes
  • Adding slicersβ€’7 minutes
  • Adding buttonsβ€’5 minutes
  • Adding bookmarksβ€’5 minutes
  • Group and layer visualsβ€’5 minutes
  • DAX filter context in visualizationsβ€’6 minutes
  • Module summary: Navigation and Accessibilityβ€’6 minutes
10 readingsβ€’Total 125 minutes
  • Design best practicesβ€’10 minutes
  • Activity: Creating an accessible reportβ€’30 minutes
  • Activity: Improving accessibility with tooltipsβ€’10 minutes
  • Additional resources: Designing an Accessible Reportβ€’5 minutes
  • Activity: Sorting and filtering a reportβ€’10 minutes
  • Additional resources: Report Navigation and Filteringβ€’5 minutes
  • Adding URLsβ€’10 minutes
  • Exercise: Creating an interactive reportβ€’30 minutes
  • Exemplar: Creating an interactive reportβ€’10 minutes
  • Additional resources: Interactive Reportβ€’5 minutes
5 assignmentsβ€’Total 85 minutes
  • Module quiz: Navigation and Accessibilityβ€’30 minutes
  • Knowledge check: Designing an Accessible Reportβ€’15 minutes
  • Knowledge check: Report Navigation and Filteringβ€’15 minutes
  • Self-review: Creating an interactive reportβ€’10 minutes
  • Knowledge check: Interactive Reportβ€’15 minutes
1 discussion promptβ€’Total 10 minutes
  • What type of reports will you create for the different types of users that you interact with?β€’10 minutes

In this module, you'll be introduced to dashboards and how they differ from reports, as well as publishing and exporting reports.

What's included

11 videos13 readings7 assignments1 discussion prompt

11 videosβ€’Total 71 minutes
  • What is a dashboard?β€’6 minutes
  • Creating a dashboardβ€’5 minutes
  • Improving usability in dashboardsβ€’6 minutes
  • Limitations of pinned visualsβ€’6 minutes
  • Publishing reportsβ€’4 minutes
  • Pagination and exporting reportsβ€’4 minutes
  • Introduction to the Performance Analyzerβ€’6 minutes
  • Resolving performance issues in DAXβ€’8 minutes
  • Using variables for performanceβ€’8 minutes
  • Using variables for troubleshootingβ€’8 minutes
  • Module summary: Bringing Data to the Userβ€’8 minutes
13 readingsβ€’Total 180 minutes
  • Activity: Preparing a simple workspaceβ€’10 minutes
  • Exercise: Building a dashboardβ€’30 minutes
  • Exemplar: Building a dashboardβ€’10 minutes
  • Additional resources: Creating Dashboardsβ€’5 minutes
  • Report page propertiesβ€’10 minutes
  • Exercise: Sharing a reportβ€’30 minutes
  • Exemplar: Sharing a reportβ€’10 minutes
  • Activity: Analyze in Excelβ€’10 minutes
  • Additional resources: Sharing with Stakeholdersβ€’10 minutes
  • Tuning report performanceβ€’10 minutes
  • Exercise: Improving DAX performanceβ€’30 minutes
  • Exemplar: Improving DAX performanceβ€’10 minutes
  • Additional resources: Optimizing Reportsβ€’5 minutes
7 assignmentsβ€’Total 105 minutes
  • Module quiz: Bringing Data to the Userβ€’30 minutes
  • Self-review: Building a dashboardβ€’10 minutes
  • Knowledge check: Creating Dashboardsβ€’15 minutes
  • Self-review: Sharing a reportβ€’10 minutes
  • Knowledge check: Sharing with Stakeholdersβ€’15 minutes
  • Self-review: Improving DAX performanceβ€’10 minutes
  • Knowledge check: Optimizing Reportsβ€’15 minutes
1 discussion promptβ€’Total 10 minutes
  • How will you use Power BI to share your data effectively?β€’10 minutes

In this module, you'll be introduced to data analysis. You'll explore how to use visualizations and AI in Microsoft Power BI to perform an analysis of data.

What's included

13 videos14 readings6 assignments1 discussion prompt

13 videosβ€’Total 79 minutes
  • Introduction to analyticsβ€’7 minutes
  • Statistical summaryβ€’7 minutes
  • Group and bin data for analysisβ€’7 minutes
  • Histograms and Top Nβ€’7 minutes
  • Clustering techniquesβ€’7 minutes
  • Continuous and categorical axesβ€’6 minutes
  • Using the Analyze featureβ€’6 minutes
  • Conducting a time series analysisβ€’6 minutes
  • Creating reference linesβ€’7 minutes
  • Forecastingβ€’6 minutes
  • Key Influencersβ€’5 minutes
  • Decomposition treesβ€’6 minutes
  • Module summary: Identifying Patterns and Trendsβ€’4 minutes
14 readingsβ€’Total 185 minutes
  • Statistics cheatsheetβ€’10 minutes
  • Activity: Performing an analysisβ€’10 minutes
  • Additional resources: Perform Analytics in Power BIβ€’5 minutes
  • Time series analysisβ€’10 minutes
  • Activity: Using the Play Axis visualizationβ€’30 minutes
  • Error barsβ€’10 minutes
  • Exercise: Explaining the increaseβ€’30 minutes
  • Exemplar: Explaining the increaseβ€’10 minutes
  • Activity: Forecasting salesβ€’10 minutes
  • Additional resources: Analytical Tools in Power BIβ€’5 minutes
  • Q&A visualizationβ€’10 minutes
  • Exercise: Root cause analysisβ€’30 minutes
  • Exemplar: Root cause analysisβ€’10 minutes
  • Additional resources: Working with AI Visualsβ€’5 minutes
6 assignmentsβ€’Total 102 minutes
  • Module quiz: Identifying Patterns and Trendsβ€’30 minutes
  • Knowledge check: Perform Analytics in Power BIβ€’15 minutes
  • Self-review: Explaining the increaseβ€’12 minutes
  • Knowledge check: Analytical Tools in Power BIβ€’15 minutes
  • Self-review: Root cause analysisβ€’15 minutes
  • Knowledge check: Working with AI Visualsβ€’15 minutes
1 discussion promptβ€’Total 10 minutes
  • How will you use data visualization to bring your data to life?β€’10 minutes

What's included

1 reading

1 readingβ€’Total 10 minutes
  • Microsoft Power BI Updates Blogβ€’10 minutes

In this module, you will be assessed on the key skills covered in the Course. This module provides a summary of the course and reflects on the primary learning objectives. The module also contains the project for the course which encapsulates the learning into a practical whole.

What's included

2 videos4 readings2 assignments1 discussion prompt

2 videosβ€’Total 12 minutes
  • Course recap: Data Analysis and Visualization with Power BIβ€’7 minutes
  • Congratulationsβ€’4 minutes
4 readingsβ€’Total 60 minutes
  • About the final project and assessment: Data Analysis and Visualization with Power BIβ€’10 minutes
  • Exercise: Adventure Works executive summaryβ€’30 minutes
  • Exemplar: Adventure Works executive summaryβ€’10 minutes
  • Next stepsβ€’10 minutes
2 assignmentsβ€’Total 105 minutes
  • Self-review: Adventure Works executive summaryβ€’15 minutes
  • Course quiz: Data Analysis and Visualization with Power BIβ€’90 minutes
1 discussion promptβ€’Total 10 minutes
  • Reflect on learningβ€’10 minutes

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

Instructor ratings
4.8 (7 ratings)
343 Coursesβ€’2,617,428 learners

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C
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Reviewed on Oct 28, 2025

I enjoyed every module in this course. The real world practicality is amazing .

CF
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Reviewed on Aug 3, 2025

Accountability in videos and assignments was a nice feature. Downloadable files to apply learning were really helpful.

ZH
Β·

Reviewed on Jun 30, 2025

This course help me in basics of Power Bi also i am now familiar with visualisations of power bi .

Frequently asked questions

This program is for you:

● If you want to switch or start a career in the field of data analytics.

● If you are interested in the field of data analytics, just beginning to work with business intelligence and data analysis solutions and services, or new to Microsoft Power BI.

You don’t need any background knowledge to take this Professional Certificate. Whether you’re just starting out or a professional in a relevant field, this program can be the right fit for you.

It typically takes 5 months to complete the 8 courses. But some learners may go through the content faster.

Whether you’re looking to start a new career or change your current one, Professional Certificates help you become job ready. Apply your new skills on hands-on projects that showcase your expertise to potential employers and earn a career credential to kickstart your new career.

Once you have completed this Professional Certificate, you’ll have built a foundational knowledge of the key concepts and tools in Power BI and how they apply to a business environment including:

β€’ The ability to implement best practices when conducting Data Analysis.

β€’ The skills to use the visualization and report capabilities of Power BI to create compelling reports and dashboards.

β€’ The ability to provide valuable data insights that help to inform business decisions.

Power BI Data Analysts design, develop, and deploy business analytics dashboards using Microsoft Power BI. Data analysts are essential in helping organizations gain valuable insights into the expanse of data that they have, and they work closely with others in the organization to help reveal valuable information.

Data analysts and business intelligence analysts both help drive data-driven decision-making in their organizations. Data analysts tend to work more closely with the data itself, while business intelligence analysts tend to be more involved in using the results of data analysis to address business needs and recommend solutions. The Power BI data analyst is a combination of both of these roles. They work closely with business stakeholders to identify business requirements and collaborate with enterprise data analysts and data engineers to identify and acquire data. They also transform the data, create data models, visualize data, and share assets by using Power BI. These are all highly sort after roles.

Prepare for a career as a data analyst using Power BI. The Power BI skills you learn in this program prepare you for an entry-level role as a data analyst. An entry-level role as a data analyst is a great starting point and can be the first step towards building a career as a business intelligence analyst, data scientist or data engineer.

This course is completely online. You can access your lessons, readings, and assignments anytime and anywhere via the web or your mobile device.

We highly recommend taking the courses of each certificate program in the order they are presented. The content in the courses builds on information from earlier courses. The final course contains a practice exam that assesses your knowledge of the content covered in the previous courses. As such, it makes the most sense to take the courses in the order they are presented.

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.

Financial aid available,