What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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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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November 2024
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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.
In this module, you will learn how to set up data sources in Power BI. You’ll explore the different types of data sources available, from structured to unstructured data, and understand how to connect them to your Power BI environment. In this module you'll also cover the basics of connectors, triggers, and actions, providing you with the foundational knowledge to manage data sources effectively and ensure smooth data integration.
8 videos15 readings7 assignments
This module focuses on transforming raw data into a structured format suitable for analysis. You'll be introduced to Power Query, a tool within Power BI, and learn how to perform basic and advanced data transformations. You also cover essential techniques such as appending, merging, and cleaning data, ensuring that you can convert diverse datasets into a cohesive format ready for visualization and reporting.
10 videos8 readings7 assignments
In this module, you will explore the principles of data storage and processing within Power BI. You’ll learn how to configure data storage options, understand the implications of storage choices on performance, and ensure that your data is optimized for quick access and analysis. Additionally, as you progress through this module you will cover data cleaning processes to correct errors and inconsistencies, ensuring the quality and reliability of your data.
5 videos5 readings4 assignments
This module brings together all the concepts learned in the course through a hands-on project. You’ll be tasked with preparing and managing data for a simulated real-world scenario, applying your knowledge of data sources, transformation, and storage. In this capstone project you will test your ability to ensure data integrity and quality, demonstrating your readiness to handle data preparation and management tasks in professional settings.
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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