Power BI 101 - Semester 2: Time Intelligence, Calculation Groups, TMDL & More

Опубликовано: 10 Май 2026
на канале: Geordie Intelligence #PowerBI
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🚀 Power BI Back2Basics: Semester 2 - Training Course

Dive deeper into the more advanced Power BI techniques and level up your reporting skills. This semester combines four videos covering Model Structure, Time Intelligence, Calculation Groups, Field Parameters, TMDL and even a Live Build - so you can work along with us and learn to solve real world Power BI problems.

If you're looking to improve your skills as a Power BI developer and learn from an expert in the field, you're in the right place. Grab a coffee, follow along, and let's dive in!

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VIDEO 5 - Model Structure

00:15 - 2:07 - Intro to Model Structure
2:07 - 5:36 - Secondary (Thin) Reports
5:36 - 7:51 - Measures
7:51 - 11:06 - Copilot (Not) In Power BI
11:06 - 14:55 - Model View
14:55 - 19:52 - Report Level Measures
19:52 - 23:15 - Report Naming Conventions
23:15 - 29:51 - Variables in DAX
29:51 - 34:33 - DAX Calculated Columns
34:33 - 38:07 - DAX Calculated Tables
38:07 - 41:04 - Publishing
41:04 - 43:15 - Video 5 Conclusions

VIDEO 6 - DAX Time Intelligence Functions

43:15 - 44:48 - Intro to Time Intelligence
44:48 - 48:43 - Getting Started with Time Intelligence
48:43 - 52:44 - Month to Date
52:44 - 55:38 - To Date Explained
55:38 - 1:09:06 - Custom Periods
1:09:06 - 1:17:18 - Previous Year
1:17:18 - 1:21:02 - Conclusions

VIDEO 7 - Calculation Groups, Field Parameters and TMDL

1:21:02 - 1:22:30 - Introduction
1:22:30 - 1:24:12 - What are Calculation Groups?
1:24:12 - 1:12:15 - Tabular Editor 2.0
1:25:15 - 1:29:22 - Calculation Groups
1:29:22 - 1:30:26 - Save Back Model
1:30:26 - 1:34:13 - Test Your Group
1:34:13 - 1:41:07 - Field Parameters
1:41:07 - 1:45:24 - TMDL
1:45:24 - 1:51:16 - Conclusions

VIDEO 8 - LIVE Calculations and Field Parameters

1:51:20 - 2:05:34 - LIVE Build Introduction
2:05:34 - 2:09:46 - Measure Tables
2:09:46 - 2:21:29 - Measures In Tabular Editor
2:21:29 - 2:32:34 - Field Parameters
2:32:34 - 2:40:50 - Normalising Data
2:40:50 - 2:48:18 - KPI's
2:48:18 - 2:49:38 - Conclusions