babymore87
MyBoerse.bz Pro Member
Connecting Projects, Sites & Work Orders
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 58m | Size: 577.01 MB
Module 2: Applied Analytics, DAX Measures, and Visual Interaction
What you'll learn
Recognize fact and dimension tables in a star schema.
Add an equipment table and validate its relationship to work orders.
Explain the difference between imported columns, calculated columns, and measures.
Create a completion-rate measure with DAX.
Build and format a gauge and work-order date slicer.
Apply simple versioning and model-maintenance practices.
Requirements
1. Basic familiarity with Power BI Desktop. This is the minimum skill needed to navigate the interface. 2. Understanding of star schema fundamentals from Module 1. This is the only "required" prior knowledge - and it's reasonable. 3. Ability to identify fact and dimension tables. This sets the baseline for expanding the model. 4. Comfort with simple data relationships in Power BI. Not advanced modeling - just the basics.
Description Module 2: Applied Analytics, DAX Measures, and Visual Interaction builds on the foundation established in Module 1 and takes you deeper into practical, mission‑ready Power BI skills. In this module, you will expand the Projects-Sites-Work Orders model, create your first analytical measure, and build visuals that respond intelligently to filter context and user interaction.
You'll start by adding the Equipment dimension and validating its relationship to Work Orders, reinforcing how star schema design supports clean, predictable analytics. From there, you'll create a Completion Rate measure using DAX, learning how CALCULATE, COUNTROWS, VAR, RETURN, DIVIDE, and IF work together to produce reliable results. You'll also build and format a gauge visual and a date slicer, giving you hands‑on experience with interactive reporting.
To strengthen your understanding, the module includes several guided practice resources: a DAX Measure Builder worksheet, a Common Mistakes diagnostic activity, a Star Schema reinforcement sheet, and an Applied Analytics Storytelling exercise using fictional exhibits. These activities help you identify patterns, interpret results, and communicate insights clearly to decision‑makers.
By the end of this module, you'll be able to write clean DAX measures, build responsive visuals, interpret analytical outputs, and connect your model to real‑world operational questions. This course is ideal for learners who completed Module 1 or anyone ready to move from basic modeling into applied analytics with Power BI.
Who this course is for
1. Learners who completed Module 1 and want to continue building a mission‑ready Power BI model. This signals continuity without making Module 1 a hard requirement.
2. Analysts, technicians, or supervisors who work with operational or work‑order data. This matches your Army audience and general operations roles.
3. Power BI beginners who understand basic modeling and want to learn applied analytics. This keeps the door open for new learners.
4. Anyone who wants to build DAX measures and visuals that respond to real‑world data.
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