What is data visualization?

<text variant="body1">Data visualization is the graphical representation of data, using visual elements like charts, graphs, and maps. It helps simplify complex data sets, allowing users to easily understand trends, patterns, and insights, ultimately aiding in decision-making and communication.

Will I be able to complete this course online?

<text variant="body1">Yes, this course is entirely online, allowing you to study at your own pace from anywhere with an internet connection. You can access your lessons, readings, and assignments anytime and anywhere via the web or your mobile device.

Do I need to take the courses in specific order?

<text variant="body1">Yes. 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.

What will I be able to do upon completing the Professional Certificate?

<text variant="body1">Once you've completed the Microsoft Data Visualization Professional Certificate, you will possess the essential skills and knowledge to thrive in this dynamic field. These skills enhance your practical experience and career prospects in data visualization, ensuring you are well-prepared to tackle challenges in entry-level roles. This certificate is valuable to share within your professional network. <text variant="body1">Throughout the program, you engaged with hands-on activities, final course projects, and assessments, mastering fundamental concepts such as: <text variant="body1">- Interpreting datasets and communicating findings to stakeholders through visualizations using Power BI. <text variant="body1">- Analyzing data to extract insights that inform business decisions. <text variant="body1">- Creating visually appealing and interactive reports and dashboards. <text variant="body1">- Applying advanced data modeling techniques, including the use of Data Analysis Expressions (DAX). <text variant="body1">- Applying statistical analysis techniques and leveraging AI-driven tools to uncover hidden insights and trends.

What will I get if I subscribe to this Certificate?

When you enroll in the course, you get access to all of the courses in the Certificate, 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.

Building Powerful Reports and Dashboards in Power BI

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Building Powerful Reports and Dashboards in Power BI

This course is part of Microsoft Data Visualization Professional Certificate

Instructor: Microsoft

5,710 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

39 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

39 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

28 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

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Build your Data Analysis expertise

This course is part of the Microsoft Data Visualization Professional Certificate

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

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 from Microsoft

There are 5 modules in this course

In this course, you will gain the skills to create impactful reports and interactive dashboards using Microsoft Power BI, helping businesses make data-driven decisions. The course focuses on the data visualization process. You will gain practical skills like designing professional reports, optimizing layouts for different audiences, and leveraging Power BI’s interactive features.

Additionally, you will explore how to use Power BI to integrate data from various sources, transform it into meaningful insights, and present it in a visually engaging way. Ultimately, you will learn how to create user-centered dashboards and reports, ensuring clarity and actionable insights. By the end of this course, you will be able to: - Explain the data visualization process and how it drives business intelligence. - Create dashboards in Power BI. - Create interactive reports in Power BI. This course is for anyone interested in a career in data analytics and business intelligence, or for roles that require working with business data, such as marketing and sales professionals. It will help you develop specific skills in effectively communicating data insights to business stakeholders. To be successful in this course, you should already be proficient in extracting, transforming, and loading data in Microsoft Power BI, as well as using multiple data sources and configurations to build a semantic model. You should also know how to use Power Query, create and customize effective visualizations, and write data analysis expressions to calculate statistics. Moreover, knowing about the fundamentals of business intelligence, principles for ethical data handling, and understanding business needs will put you in a position to succeed. To complete this course, you’ll need: - A laptop or desktop PC with Microsoft Windows - At least 8 gigabytes of RAM - A stable internet connection - Power BI Desktop - Microsoft 365

This module introduces the importance of data-driven decision-making in business contexts. You will explore how visual analysis and insights improve efficiency, competitive edge, and business performance. Key topics include the role of data in shaping business strategy and various professionals involved in the data analysis process.

What's included

11 videos14 readings6 assignments

11 videos Total 66 minutes

Course introduction 6 minutes
How data insights drive business 7 minutes
Analysis for business intelligence 6 minutes
Roles working with data 6 minutes
Understanding the nature of data 6 minutes
Defining the reporting goal 6 minutes
Choosing the right visualization 5 minutes
Create reports with Copilot 6 minutes
Smart narrative summaries 5 minutes
Anomaly detection 7 minutes
Module summary: Business intelligence 6 minutes

14 readings Total 135 minutes

How to be successful in this course 10 minutes
Course navigation: Enhanced image viewing 10 minutes
Course navigation: Locating downloaded files 10 minutes
Activity: Setting up Microsoft 365 10 minutes
Activity: Setting up your Power BI environment 10 minutes
Activity: Updating a data source path 10 minutes
Course syllabus 10 minutes
Business intelligence cheat sheet 10 minutes
Audience characteristics 10 minutes
Exemplar: Choosing an appropriate visualization 10 minutes
Navigating Microsoft Fabric subscriptions 10 minutes
Copilot report suggestions 10 minutes
Exemplar: Detecting anomalies 10 minutes
Additional resources: Business intelligence 5 minutes

6 assignments Total 135 minutes

Knowledge check: Business intelligence 15 minutes
Activity: Choosing an appropriate visualization 30 minutes
Knowledge check: Choosing appropriate visualizations 15 minutes
Activity: Detecting anomalies 30 minutes
Knowledge check: AI visualizations and reports 15 minutes
Module quiz: Business intelligence 30 minutes

Focusing on improving user interaction, this module teaches you how to create intuitive and navigable reports. It covers essential techniques such as drillthrough, hierarchies, and bookmarks to optimize the user experience. You will also explore interactivity through buttons, slicers, and filters, ensuring reports cater to varied business needs.

What's included

11 videos8 readings7 assignments

11 videos Total 65 minutes

Report hierarchies 5 minutes
Report drill-through 5 minutes
Adding bookmarks 6 minutes
Slicers 7 minutes
DAX filter context in visualizations 6 minutes
Adding buttons 6 minutes
Sorting and filtering data in reports 6 minutes
What is an aggregation? 6 minutes
Aggregation functions in DAX 6 minutes
Creating an aggregation table 5 minutes
Module summary: User experience in reports 6 minutes

8 readings Total 75 minutes

Adding URLs 10 minutes
Exemplar: Configure a hierarchical report 10 minutes
Cross-filter and cross-highlight 10 minutes
Exemplar: Create an interactive report 10 minutes
DAX aggregation cheat sheet 10 minutes
Storage modes in aggregation tables 10 minutes
Exemplar: Create an aggregation 10 minutes
Additional resources: User experience in reports 5 minutes

7 assignments Total 165 minutes

Activity: Configure a hierarchical report 30 minutes
Knowledge check: Report navigation 15 minutes
Activity: Create an interactive report 30 minutes
Knowledge check: Interactive reports 15 minutes
Activity: Create an aggregation 30 minutes
Knowledge check: Aggregating data 15 minutes
Module quiz: User experience in reports 30 minutes

This module guides you to create dashboards in Power BI Service that provide quick, high-level overviews for stakeholders. You will also learn about workspaces and how dashboards differ from detailed reports. Topics include configuring dashboards for diverse business requirements and mobile devices and overcoming common limitations like pinned visuals.

What's included

11 videos7 readings7 assignments

11 videos Total 62 minutes

What is a workspace? 6 minutes
Creating a workspace 6 minutes
Assign workspace roles 5 minutes
What is a dashboard? 6 minutes
Creating a dashboard 5 minutes
Optimize a dashboard for mobile devices 6 minutes
Limitations of pinned visuals 5 minutes
Publishing reports and dashboards 6 minutes
Subscribing to reports and dashboards 6 minutes
Configuring data alerts 6 minutes
Module summary: Dashboards 6 minutes

7 readings Total 65 minutes

Workspace settings 10 minutes
Roles cheat sheet 10 minutes
Exemplar: Create a shared workspace 10 minutes
Dashboard vs report design 10 minutes
Exemplar: Building a dashboard 10 minutes
Exemplar: Alerting on profit margin 10 minutes
Additional resources: Dashboards 5 minutes

7 assignments Total 165 minutes

Activity: Create a shared workspace 30 minutes
Knowledge check: Introduction to workspaces 15 minutes
Activity: Building a dashboard 30 minutes
Knowledge check: Introduction to dashboards 15 minutes
Activity: Alerting on profit margin 30 minutes
Knowledge check: Publishing dashboards 15 minutes
Module quiz: Dashboards 30 minutes

This module focuses on optimizing Power BI performance and ensuring data security. You will be introduced to Power BI’s Performance analyzer tool, along with techniques for fine-tuning DAX queries and improving report speed. The module also covers security measures, including row-level security and managing dataset permissions, ensuring sensitive data is protected.

What's included

13 videos5 readings6 assignments

13 videos Total 79 minutes

Introduction to the Performance analyzer 6 minutes
Resolving performance issues in DAX 7 minutes
Using variables for performance 6 minutes
Sharing information safely 6 minutes
Sharing via links 6 minutes
Data sensitivity labels 6 minutes
Dataset permissions 6 minutes
Sharing outside your organisation 6 minutes
What is row-level security? 7 minutes
Static vs dynamic row-level security 6 minutes
Configuring static row-level security 5 minutes
Dynamic row-level security with DAX 5 minutes
Module summary: Performance and security 6 minutes

5 readings Total 45 minutes

Tuning report performance 10 minutes
Exemplar: Improving DAX performance 10 minutes
Permissions cheat sheet 10 minutes
Exemplar: Share information 10 minutes
Additional resources: Performance and security 5 minutes

6 assignments Total 135 minutes

Activity: Improving DAX performance 30 minutes
Knowledge check: Performance optimization 15 minutes
Activity: Share information 30 minutes
Knowledge check: Working with sensitive data 15 minutes
Knowledge Check: Row-level security 15 minutes
Module quiz: Performance and security 30 minutes

In this module, you will synthesize the skills and knowledge you acquired throughout the course by completing the final course project and the final graded quiz. You will apply your expertise to a real-world business scenario, using Power BI to identify and analyze the root cause of a problem. This hands-on project challenges you to demonstrate your ability to integrate various analytical techniques and create impactful data visualizations that drive business insights and decision-making.

What's included

1 video5 readings2 assignments1 plugin

1 video Total 6 minutes

Course recap: Building powerful reports and dashboards in PowerBI 6 minutes

5 readings Total 80 minutes

About the final project and assessment 10 minutes
Final project: Visualizing data for stakeholders 40 minutes
Showcase your skills 10 minutes
Coursera community 10 minutes
Next steps 10 minutes

2 assignments Total 120 minutes

Self-review: Visualizing data for stakeholders 30 minutes
Course quiz: Building powerful reports and dashboards in PowerBI 90 minutes

1 plugin Total 20 minutes

Exemplar: Visualizing data for stakeholders 20 minutes

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(7 ratings)

Microsoft

287 Courses 2,395,661 learners

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Microsoft

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Reviewed on Mar 25, 2025

Seriously its all about PowerBI software, not much on visualization in general

Reviewed on Jul 9, 2025

Good Explanation, Can gain practical knowledge too.

Reviewed on Nov 20, 2025

Perfect, enough to understand PowerBI around intermediate level

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Frequently asked questions

This Professional Certificate is designed for aspiring junior data scientists who want to kickstart their careers in the business intelligence industry. It is also for current professionals who are seeking a greater understanding of data visualization fundamentals.

This program is for you:

- If you are interested in the field of data analytics and visualization or are just beginning to work in a junior data analyst role.

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

- If you already work in data analytics and are seeking a greater understanding of data visualization fundamentals. Earning a Microsoft Data Visualization certificate can help you advance your career or address gaps in your knowledge, skills, and abilities.

This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones.

It typically takes 5 to 6 months to complete the 5 courses. But some learners may go through the content faster.

A junior data scientist or data analyst collects, processes, and analyzes data to help organizations make informed decisions. They work with data visualization tools such as Microsoft Power BI, create reports, identify trends, and support business insights. They also collaborate with teams to improve data-driven strategies, spot opportunities and solve problems.

With the skills acquired from this Professional Certificate, you can qualify for entry-level positions such as junior data analyst, business intelligence (BI) analyst, or reporting analyst. These positions focus on analyzing data, creating reports and dashboards, and using tools like Microsoft Power BI to present actionable insights, helping organizations make data-driven decisions.

Once you've completed the Microsoft Data Visualization Professional Certificate, you will possess the essential skills and knowledge to thrive in this dynamic field. These skills enhance your practical experience and career prospects in data visualization, ensuring you are well-prepared to tackle challenges in entry-level roles. This certificate is valuable to share within your professional network.

Throughout the program, you engaged with hands-on activities, final course projects, and assessments, mastering fundamental concepts such as:

- Interpreting datasets and communicating findings to stakeholders through visualizations using Power BI.

- Analyzing data to extract insights that inform business decisions.

- Creating visually appealing and interactive reports and dashboards.

- Applying advanced data modeling techniques, including the use of Data Analysis Expressions (DAX).

- Applying statistical analysis techniques and leveraging AI-driven tools to uncover hidden insights and trends.

No, completing the Microsoft Data Visualization Professional Certificate does not grant university credit. However, by successfully completing all the courses in the program you will receive a professional Coursera certificate, which is valuable for career development. The certification is recognized globally, so it enhances your credibility and marketability to potential employers. It demonstrates your proficiency in data visualization tools like Microsoft Power BI.

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.