| Concept | Why it matters |
|--------|----------------|
| CALCULATE | Changes filter context dynamically |
| ALL / ALLEXCEPT | Remove filters for % of total |
| FILTER as a table function | Complex conditions |
| VAR (variables) | Readable, faster DAX |
| SELECTEDVALUE | Parameter-like behavior |
Example – Running Total:
Sales RT =
CALCULATE(
SUM(Sales[Amount]),
FILTER(
ALL('Date'),
'Date'[Date] <= MAX('Date'[Date])
)
)
Many courses use the generic "Financial Sample" spreadsheet. High-quality courses use messy, realistic data—CSV exports from CRMs, JSON files from web APIs, and SQL databases with missing values. If the data doesn't make you angry at first glance, it isn't "Extra Quality." | Concept | Why it matters | |--------|----------------|
Microsoft Power BI Desktop is a leading business intelligence (BI) tool that helps organizations transform raw data into interactive reports and dashboards. This article explains what Power BI Desktop is, why it’s valuable for BI, how it fits into real-world analytics workflows, and how a high-quality Udemy course can help learners gain practical, job-ready skills. Many courses use the generic "Financial Sample" spreadsheet
DAX is the hardest part of Power BI. Low-quality courses skim over CALCULATE and FILTER. An extra quality course provides: realistic data—CSV exports from CRMs
"Extra quality" courses teach you when to flatten your data and when to keep it normalized.