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⇱ Visualization for Data Analysis with Power BI | Coursera

Visualization for Data Analysis with Power BI

Visualization for Data Analysis with Power BI

This course is part of multiple programs.

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Gain insight into a topic and learn the fundamentals.
4.8

30 reviews

Beginner level

Recommended experience

2 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

30 reviews

Beginner level

Recommended experience

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

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 4 modules in this course

This course provides in-depth knowledge of analytical techniques and effective data visualization using Power BI. By the end of this course, you will be able to:

- Explain different analysis methods (correlation, time series, cluster, etc.) and their appropriate use. - Analyze data through visualizations in Power BI using different analysis methodologies - Leverage AI to explore data and gain insights. Here is a breakdown of what you'll cover: You will begin with statistical analysis fundamentals, master correlation, and exploratory data analysis, and understand business problems. As the course progresses, you will explore advanced topics like cluster analysis, cohort analysis, and geospatial data visualization. Additionally, you will learn about business intelligence concepts, including building time intelligence functions, conducting time series analysis, and leveraging AI-driven tools like key influencers and decomposition trees. With a strong emphasis on practical application, the course culminates in a hands-on final project, allowing you to synthesize your skills in a real-world scenario, making data-driven decision-making clear and impactful. 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. Before starting this course, you should be proficient in building data models, maintaining relationships in Power BI, and writing DAX expressions to enhance analysis. You should also understand the ethical implications of handling data. This knowledge will be essential as you learn advanced data analysis techniques and explore data through Power BI's visualizations, supported by AI-driven insights.

This module introduces the foundational concepts of statistical analysis in Power BI. You will explore the importance of understanding business problems and how to conduct correlation and exploratory data analyses. The module covers key techniques like grouping, binning data, and using Power BI visualizations to derive insights. By the end, you will have a solid grasp of basic statistical methods and their applications in business contexts.

What's included

13 videos17 readings9 assignments

13 videos•Total 90 minutes
  • Course introduction•6 minutes
  • Introduction to statistics•7 minutes
  • Data types in statistics•7 minutes
  • Statistical analysis•7 minutes
  • Descriptive analysis in Power BI•7 minutes
  • Business context•6 minutes
  • Root cause analysis•6 minutes
  • Statistical summary•7 minutes
  • Distributions•7 minutes
  • Groups and bins•7 minutes
  • Correlation coefficient•9 minutes
  • Using DAX to find correlation•8 minutes
  • Module summary: Statistical analysis fundamentals•7 minutes
17 readings•Total 160 minutes
  • How to be successful in this course•5 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
  • Descriptive statistics•10 minutes
  • DAX cheat sheet for statistics•10 minutes
  • Exemplar: Conducting a descriptive analysis•10 minutes
  • Types of business problems•10 minutes
  • Exemplar: Identify the context•10 minutes
  • Exemplar: Conducting an exploratory analysis•10 minutes
  • Correlation in business contexts•10 minutes
  • Correlation DAX cheat sheet•10 minutes
  • Exemplar: Conducting a correlation analysis•10 minutes
  • Additional resources: Statistical analysis fundamentals•5 minutes
9 assignments•Total 210 minutes
  • Module quiz: Statistical analysis fundamentals•30 minutes
  • Activity: Conducting a descriptive analysis•30 minutes
  • Knowledge check: Introduction to statistical analysis•15 minutes
  • Activity: Identify the context•30 minutes
  • Knowledge check: Understanding business problems•15 minutes
  • Activity: Conducting an exploratory analysis•30 minutes
  • Knowledge check: Exploratory data analysis•15 minutes
  • Activity: Conducting a correlation analysis•30 minutes
  • Knowledge check: Correlation analysis•15 minutes

In this module, you will explore advanced statistical techniques, including cluster, cohort, and geospatial analyses. The focus is on applying these methods in Power BI to uncover patterns, trends, and outliers within data. You will also explore the creation and optimization of complex visualizations, such as scatter charts and maps, enhancing your ability to conduct detailed and insightful analyses for informed decision-making.

What's included

9 videos8 readings7 assignments

9 videos•Total 66 minutes
  • Introduction to cluster analysis•8 minutes
  • Scatter charts•6 minutes
  • Clustering techniques•5 minutes
  • Introduction to cohorts•6 minutes
  • Creating a cohort measure•9 minutes
  • Geospatial data•7 minutes
  • Filled maps•10 minutes
  • Shape maps (preview)•8 minutes
  • Module summary: Advanced statistical analysis•6 minutes
8 readings•Total 75 minutes
  • Outliers and anomalies•10 minutes
  • Exemplar: Conduct a cluster analysis•10 minutes
  • Cohort DAX cheat sheet•10 minutes
  • Exemplar: Conduct a cohort analysis•10 minutes
  • Preparing geospatial data for Power BI•10 minutes
  • Azure maps•10 minutes
  • Exemplar: Visualizing data by geographical location•10 minutes
  • Additional resources: Advanced statistical analysis•5 minutes
7 assignments•Total 165 minutes
  • Module quiz: Advanced statistical analysis•30 minutes
  • Activity: Conduct a cluster analysis•30 minutes
  • Knowledge check: Cluster analysis•15 minutes
  • Activity: Conduct a cohort analysis•30 minutes
  • Knowledge check: Cohort analysis•15 minutes
  • Activity: Visualizing data by geographical location•30 minutes
  • Knowledge check: Geospatial data analysis•15 minutes

This module focuses on leveraging statistical analysis for business intelligence, with an emphasis on time intelligence functions, time series analysis, and AI-driven insights. You will explore how to use DAX for summarization and comparison over time, as well as how to apply key influencers and decomposition trees to identify root causes in business scenarios. The module equips you with advanced tools to analyze and forecast business data effectively.

What's included

12 videos11 readings9 assignments

12 videos•Total 70 minutes
  • The importance of time intelligence•6 minutes
  • Time range DAX functions•5 minutes
  • Using DAX for summarization over time•5 minutes
  • Using DAX for comparison over time•6 minutes
  • Time series analysis•6 minutes
  • Conducting a time series analysis•6 minutes
  • Forecasting•7 minutes
  • Key influencers•4 minutes
  • Decomposition trees•6 minutes
  • Q&A visualization•7 minutes
  • Sentiment analysis with AI•7 minutes
  • Module summary: Business intelligence through statistical analysis•7 minutes
11 readings•Total 105 minutes
  • Setting up a common date table using DAX•10 minutes
  • Additional time intelligence functions•10 minutes
  • Time intelligence functions cheat sheet•10 minutes
  • Exemplar: Using time intelligence to compare to previous year•10 minutes
  • Microsoft AppSource•10 minutes
  • Exemplar: Forecasting sales•10 minutes
  • Exemplar: Root cause analysis•10 minutes
  • Navigating Microsoft Fabric subscriptions•10 minutes
  • Enhance Q&A with Copilot for Power BI•10 minutes
  • Exemplar: Conduct analysis using Q&A visual•10 minutes
  • Additional resources: Business intelligence through statistical analysis•5 minutes
9 assignments•Total 210 minutes
  • Module quiz: Business intelligence through statistical analysis•30 minutes
  • Activity: Using time intelligence to compare to previous year•30 minutes
  • Knowledge check: Building time intelligence functions•15 minutes
  • Activity: Forecasting sales•30 minutes
  • Knowledge check: Time series analysis•15 minutes
  • Activity: Root cause analysis•30 minutes
  • Knowledge check: Key influencers and decomposition trees•15 minutes
  • Activity: Conduct analysis using Q&A visual•30 minutes
  • Knowledge check: AI-driven data analysis•15 minutes

The final course project synthesizes the skills and knowledge acquired throughout the course. You will apply your expertise to a real-world business scenario, using Power BI to conduct an opportunity analysis. 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. The module also includes reflection on the course content and guidance on next steps for further learning.

What's included

1 video4 readings2 assignments1 plugin

1 video•Total 7 minutes
  • Course recap: Visualization for Data Analysis with Power BI•7 minutes
4 readings•Total 70 minutes
  • About the final project and assessment•10 minutes
  • Final project: Opportunity analysis in Power BI•40 minutes
  • Showcase your skills•10 minutes
  • Coursera community•10 minutes
2 assignments•Total 120 minutes
  • Self-review: Opportunity analysis in Power BI•30 minutes
  • Course quiz: Visualization for Data Analysis with Power BI•90 minutes
1 plugin•Total 20 minutes
  • Exemplar: Opportunity analysis in Power BI•20 minutes

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Reviewed on Aug 29, 2025

A comprehensive course that mainly focuses on the data analysis by statistical analysis.

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.

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. 

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.

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.

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. 

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.

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.

Financial aid available,