What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
Article
This course is part of Microsoft Power BI and Power Platform for Productivity Specialization
Instructor: Microsoft
Included with
Recommended experience
Beginner level
Previous data analysis experience is not necessary. You need to be familiar with using computers and it helps if you enjoy questioning information.
Recommended experience
Beginner level
Previous data analysis experience is not necessary. You need to be familiar with using computers and it helps if you enjoy questioning information.
How to form a model using a Star Schema.
How to write calculations DAX to create elements and analysis in Power BI.
How to optimize performance in a Power BI model.
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October 2024
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In this course, you'll learn how to use Power BI to create and maintain relationships in a data model and form a model using multiple Schemas. You'll explore the basics of DAX, Power BI's expression language, and add calculations to your model to create elements and analysis in Power BI. You'll discover how to configure the model to support Power BI features for insightful visualizations, analysis, and optimization.
After completing this course you'll be able to: ● Create and maintain relationships in a data model. ● Form a model using a Star Schema ● Write calculations DAX to create elements and analysis in Power BI ● Create calculated columns and measures in a model ● Perform useful time intelligence calculations in DAX ● Optimize performance in a Power BI model
This module introduces data modeling and the schemas used to create them.
13 videos20 readings6 assignments2 discussion prompts
This module introduces the learner to the DAX (Data Analysis Expressions) language. The module explores the syntax of DAX using multiple business use cases. The module also integrates DAX with previous lessons on database tables and their use and introduces the concept of time intelligence.
23 videos20 readings10 assignments1 discussion prompt
This module explores the optimization process and examines the tools and methods to achieve this in Power BI, including using performance analyzer and DirectQuery features. This module also dives deeper into DAX and its use in the real world.
10 videos12 readings6 assignments1 discussion prompt
In this module, you will be assessed on the key skills covered in the course. This module summarizes the course and reflects on the primary learning objectives. The module also contains the project for the course, which encapsulates the learning into a practical whole.
2 videos4 readings2 assignments1 discussion prompt
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 program is for you:
● If you want to switch or start a career in the field of data analytics.
● If you are interested in the field of data analytics, just beginning to work with business intelligence and data analysis solutions and services, or new to Microsoft Power BI.
You don’t need any background knowledge to take this Professional Certificate. Whether you’re just starting out or a professional in a relevant field, this program can be the right fit for you.
It typically takes 5 months to complete the 8 courses. But some learners may go through the content faster.
Whether you’re looking to start a new career or change your current one, Professional Certificates help you become job ready. Apply your new skills on hands-on projects that showcase your expertise to potential employers and earn a career credential to kickstart your new career.
Once you have completed this Professional Certificate, you’ll have built a foundational knowledge of the key concepts and tools in Power BI and how they apply to a business environment including:
• The ability to implement best practices when conducting Data Analysis.
• The skills to use the visualization and report capabilities of Power BI to create compelling reports and dashboards.
• The ability to provide valuable data insights that help to inform business decisions.
Power BI Data Analysts design, develop, and deploy business analytics dashboards using Microsoft Power BI. Data analysts are essential in helping organizations gain valuable insights into the expanse of data that they have, and they work closely with others in the organization to help reveal valuable information.
Data analysts and business intelligence analysts both help drive data-driven decision-making in their organizations. Data analysts tend to work more closely with the data itself, while business intelligence analysts tend to be more involved in using the results of data analysis to address business needs and recommend solutions. The Power BI data analyst is a combination of both of these roles. They work closely with business stakeholders to identify business requirements and collaborate with enterprise data analysts and data engineers to identify and acquire data. They also transform the data, create data models, visualize data, and share assets by using Power BI. These are all highly sort after roles.
Prepare for a career as a data analyst using Power BI. The Power BI skills you learn in this program prepare you for an entry-level role as a data analyst. An entry-level role as a data analyst is a great starting point and can be the first step towards building a career as a business intelligence analyst, data scientist or data engineer.
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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. The final course contains a practice exam that assesses your knowledge of the content covered in the previous courses. As such, it makes the most sense to take the courses in the order they are presented.
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