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1. Introduction and video topics
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2. Topics in Video
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3. Why we use DAX, M Code & Worksheet Formulas: What makes Each Special?
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4. Review data, data structure, Excel files, Power BI Desktop files and pdf notes
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5. What is DAX?
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6. Comprehensive Discussion about Star Schema Data Model Components and how they interact with DAX: Columnar Database, Relationships, DAX Formulas, Hidden Columns
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7. Calculated Columns
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8. Row Context
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9. Measures
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10. Power BI Desktop Calculated Columns and Measures
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11. Data Model PivotTable
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12. Filter Context
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13. COUNTROWS Function Super Charged COUNTIFS Function
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14. Expanded Table Diagram
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15. Implicit Measures
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16. SUMX function and Iterator Functions to Replace Calculated Columns
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17. Compare SUMX One Step Method to Calculated Column SUM Two Step Method
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18. Row and Filter Context Work Together
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19. Using Measures in other Measures
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20. DIVIDE Function
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21. CALCULATE Function to Change Filter Context
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22. ALL Function to remove filters and get a Grand Total
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23. % of Grand Total Measure
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24. ALLSELECTED Function to get Filtered Grand Total and % of Filtered Grand Total
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25. % of Parent Total DAX Measure: 1 ALLEXCEPT Function and 2 ALLSELECTED & VALUES
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26. Compare ALL and VALUES Functions
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27. CONCATENATEX Function
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28. YOY Change Formula with SAMEPERIODLASTYEAR, CALCULATE, DIVIDE, HASONEVALUE and a special filtering Calculated Column in Data Table
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29. Variables in DAX using VAR and RETURN
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30. Calculated Helper Column to make Measure less complicated
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31. Boolean Filters
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32. Second Look at Filter Context
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33. Overwrite Operation
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34. FILTER & ALL for Boolean Filter
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35. Logical Tests in FILTER and CALCULATETABLE Functions
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36. FILTER & VALUES for Boolean Filter
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37. KEEPFILTER to Convert Overwrite Operations to an AND Logical Tests
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38. Boolean OR Logical Test with Double Vertical Bar Operator
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39. Self Filtering Report with KEEPFILTER
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40. Filter Context with KEEPFILTTERS
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41. Boolean OR Logical Test with IN Operator
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42. NOT Logical Test
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43. Context Transition in Calculated Columns
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44. Hidden CALCULATE in Measure
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45. Context Transition in Iterator like AVERAGEX. Calculate Average Monthly Sales.
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46. Context Transition and Filter Context
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47. Context Transition Error: Iterate Over Table with Duplicate Errors
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48. Context Transition: Correct Formulas and Incorrect Formulas
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49. Context Transition Error: Iterate over Fact Table
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50. Grain of Calculation & Iterator Functions for Transactional, Daily and Monthly Averages
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51. Average using DISTINCTCOUNT to make a faster formula
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52. Cardinality and Iterator Functions. See five examples of howto reduce cardinality and increase formula calculation speed
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53. DAX Studio to time formulas. EVALUATE Command.
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54. Complex Filter and Complex Filter Reduction Error from Overwrite process: KEEPFILTERS or Data Modeling?
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55. KEEPFILTERS in Power BI Quick Measure
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56. 12 Month Moving Average DAX Measure: CALCULATE, AVERAGEX, DATESINPERIOD, IF, MAX Functions
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57. Table Filters in CALCULATE to go backwards across a Many-To-One Relationship
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58. Unmatched Items in a Relationship
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59. DAX Approximate Match Lookup
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60. DAX to create Date Tables in Power BI using GENERATE, ROW, CALENDAR and more
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61. Extract Data From Power Pivot Data Model using Existing Connections
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62. Query View in Power BI Desktop
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63. Video Summary and Conclusions
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64. Closing and Video Links
Description:
Dive into a comprehensive 2.5-hour free class on DAX fundamentals in Power BI and Power Pivot. Master columnar databases, DAX calculated columns, measures, row context, filter context, context transition, overwrite operations, DAX X iterator functions, and the CALCULATE function. Explore topics like star schema data models, implicit measures, SUMX function, DIVIDE function, ALL and ALLSELECTED functions, CONCATENATEX function, YOY change formulas, variables in DAX, boolean filters, logical tests, context transition, cardinality optimization, and DAX Studio for formula timing. Learn to create date tables, extract data from Power Pivot models, and use Query View in Power BI Desktop. Taught by Excel MVP and Highline College Professor Mike "excelisfun" Girvin, this course provides practical examples and in-depth explanations to enhance your data analysis skills using Microsoft Power Tools.

DAX Fundamentals in Power BI and Power Pivot - 2.5 Hour Course

ExcelIsFun
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1. Introduction and video topics