Dataverse Data Modeling Foundations for Power Platform — PickAClass
⏱ 2h 42m 📚 27 lessons 🎧 Audio version

Dataverse Data Modeling Foundations for Power Platform

Learn to design and implement robust data models in Dataverse, empowering you to build secure and scalable Power Platform solutions from the ground up.

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About this course

Effective data management is crucial for building powerful applications and workflows within the Power Platform. This course introduces you to Dataverse, the robust data platform underpinning the Power Platform, providing the essential knowledge to structure your business data efficiently and securely. By the end of this course, you will be able to confidently design, create, and manage sophisticated data models in Dataverse, establishing a solid foundation for any Power Apps, Power Automate, or Power Virtual Agents project. What you'll learn: * Understand fundamental Dataverse concepts, components, and terminology * Build custom tables, columns, and relationships to structure business data effectively * Apply security roles and access teams to control data access with precision * Configure business rules, calculated columns, and roll-up columns for automated logic * Implement data integrity principles and best practices for robust data modeling * Explore basic patterns for integrating Dataverse data with other systems The course begins with core Dataverse definitions and progresses through practical data modeling exercises, culminating in applying security and business logic. You will explore concepts step-by-step, moving from foundational understanding to hands-on configuration. This course is designed for absolute beginners with no prior experience in Dataverse or data modeling, as well as Power Platform users looking to deepen their understanding of its data foundation. Start building powerful data foundations for your Power Platform solutions today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 42m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Dataverse Data Modeling Foundations for Power Platform
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Dataverse Data Modeling Foundations for Power Platform
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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