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Develop Skills in Data Analysis and Visualization. Build job-ready skills for an in-demand career in data visualization in as little as 3 months. No prior experience or degree required to get started.
Instructor: Microsoft
2,952 already enrolled
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(9 reviews)
Recommended experience
Beginner level
No prior experience is needed. No prerequisites. Following courses in sequence is recommended, as skills and knowledge build on earlier courses.
(9 reviews)
Recommended experience
Beginner level
No prior experience is needed. No prerequisites. Following courses in sequence is recommended, as skills and knowledge build on earlier courses.
Create data visualizations to drive business strategy.
Prepare and transform datasets.
Build data models with DAX and apply statistical analysis.
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November 2024
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Learners who pass this course will receive a voucher for 50% off the PL-300 certificate exam.
The demand for business intelligence professionals skilled in data analysis and visualization is growing rapidly. The U.S. Bureau of Labor Statistics projects a 36% increase in data-related roles by 2033.1 The Microsoft Data Visualization Skill Certificate provides essential skills to excel in this high-demand field.
Using Microsoft Power BI, you'll learn to analyze and transform data into actionable insights and compelling visualizations that drive strategic business decisions.
What sets this program apart is its hands-on approach, including activities that give you practical exposure to real-world data scenarios. This program covers everything from foundational concepts to advanced data analysis techniques. You’ll learn to:
Prepare and clean data from various sources using Power Query.
Build data models with Data Analysis Expressions (DAX) for deeper analysis.
Create visually engaging reports and interactive dashboards.
Leverage advanced visualizations and AI tools to uncover hidden insights.
No prior experience is required, making this certification accessible to anyone ready to begin or advance their career in data analysis. By completing this program, you'll be equipped for entry-level roles as a data analyst or business intelligence professional, positioning yourself as a key contributor to any data-driven team.
1 Data Scientists: Occupational Outlook Handbook: U.S Website title: Bureau of Labor StatisticsDate published: August 29, 2024.
Applied Learning Project
Throughout the Microsoft Data Visualization Skill Certificate, you will engage in hands-on projects that simulate real-world business scenarios. These final course projects are designed to build practical experience using Microsoft Power BI to analyze data, build models, and create compelling visualizations.
For instance, you’ll create interactive reports and dashboards that communicate insights clearly and effectively to stakeholders. By working with real datasets, you’ll transform and clean data from multiple sources, ensuring data quality and integrity. You'll design comprehensive data models, apply DAX measures, and leverage advanced analyses like cohort and geospatial analysis to uncover trends and opportunities. Additionally, you'll ensure that your reports include appropriate sensitivity labels and permissions, preparing you to handle data privacy concerns in a professional setting. These projects are valuable work samples to share with potential employers.
Data Visualization Fundamentals is designed to introduce you to the powerful world of data visualization using Power BI. This course will guide you through the basics of creating visually appealing and meaningful reports, charts and graphs. You'll learn how to identify the right visualization for different types of data, and how to use Power BI's tools to build reports that tell compelling stories with data. Whether you're new to data visualization or looking to sharpen your skills, this course provides practical knowledge that you can apply immediately. By the end, you'll be equipped with foundational skills to help drive data-informed decisions.
Data Preparation and Management is designed to equip you with the essential skills needed to prepare and manage data effectively using Microsoft Power BI. Throughout this course, you'll learn how to connect, clean, and transform data from various sources to ensure its integrity and quality. You will explore the principles of Extract, Transform, Load (ETL) processes, data storage, and the importance of maintaining data accuracy. This course emphasizes practical applications, providing you with hands-on experience in managing real-world data scenarios. By the end of this course, you’ll be ready to confidently handle data preparation tasks and ensure that your data is ready for analysis and visualization.
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. By the time you begin this course, you should have a strong understanding of different types of visualizations and their appropriate use, along with the ability to create cohesive and compelling reports in Power BI. You should also be capable of identifying and addressing common design problems in reports, producing audience-focused reports by understanding business needs.
Data Modeling and Architecture is designed to provide you with the foundational skills required to create and manage data models in Microsoft Power BI. Throughout this course, you'll explore the intricacies of data relationships, schemas, and the use of Data Analysis Expressions (DAX) to enhance your data models. You'll also explore essential topics like data privacy and security, ensuring that your data models are both effective and compliant with ethical standards. This course is hands-on, offering practical experience in configuring data structures and applying advanced techniques to optimize data models. By the end of this course, you’ll be able to design robust data models that support insightful and ethical data analysis.
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. At this point, you should have a strong understanding of different types of visualizations and their appropriate use, along with the ability to create cohesive and compelling reports in Power BI. You should also be capable of identifying and addressing common design problems in reports, producing audience-focused reports by understanding business needs. Additionally, you should also be comfortable configuring multiple data sources, cleaning and transforming data using Power Query, and ensuring data integrity and quality. These skills will serve as the foundation for more advanced tasks, such as building and maintaining relationships in data models, writing DAX calculations, and managing data privacy and ethics concerns in Power BI.
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.
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
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more. In this next revolution of digital transformation, growth is being driven by technology. Our integrated cloud approach creates an unmatched platform for digital transformation. We address the real-world needs of customers by seamlessly integrating Microsoft 365, Dynamics 365, LinkedIn, GitHub, Microsoft Power Platform, and Azure to unlock business value for every organization—from large enterprises to family-run businesses. The backbone and foundation of this is Azure.
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It typically takes 5 to 6 months to complete the 5 courses. But some learners may go through the content faster.
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.
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.
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.
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.
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.
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.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹Based on Coursera learner outcome survey responses, United States, 2021.
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