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January 28, 2025
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This course is part of Microsoft Data Visualization Professional Certificate
Instructor: Microsoft
Included with
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.
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.
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February 2025
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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.
11 videos14 readings6 assignments
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.
11 videos8 readings7 assignments
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.
11 videos7 readings7 assignments
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.
13 videos5 readings6 assignments
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.
1 video5 readings2 assignments1 plugin
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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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.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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. If you only want to read and view the course content, you can audit the course for free.
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.
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