#### Section 1 : Introduction

 Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf

#### Section 2 : Getting Started

 Lecture 2 Important Versions and compatibility 3:15 Lecture 3 Set expectations 1:46

#### Section 3 : Power Pivot and DAX 101

 Lecture 4 Introduction to Power Pivot and DAX 0:29 Lecture 5 Create a Power Pivot table 5:27 Lecture 6 Power Pivots versus normal pivots 2:48 Lecture 7 Introduction to Data Analysis Expressions (DAX) 1:12 Lecture 8 Calculated columns 8:39 Lecture 9 DAX measures 2:24 Lecture 10 Create implicit measures Lecture 11 Create explicit measures (AutoSum) 7:8 Lecture 12 Create explicit measures (Power Pivot) 7:42 Lecture 13 Understand filter context 9:18 Lecture 14 Step-by-step measure calculation 12:6 Lecture 15 Recap Calculated columns versus measures 2:29 Lecture 16 Power Pivot best practices 1:48

#### Section 4 : Common DAX Functions

 Lecture 17 Introduction to DAX functions 0:27 Lecture 18 DAX formula syntax and operators 4:5 Lecture 19 Common DAX function categories 3:54 Lecture 20 Basic math and stats functions 12:45 Lecture 21 COUNT, COUNTA, DISTINCTCOUNT, and COUNTROWS Lecture 22 Logical Functions (IF, AND, and OR) 16:49 Lecture 23 Switch and Switch (TRUE) Lecture 24 Text functions 10:53 Lecture 25 The CALCULATE function 14:39 Lecture 26 Add filter context with FILTER Part 1 9:20 Lecture 27 Add filter context with FILTER Part 2 14:23 Lecture 28 Remove filter context with ALL 9:6 Lecture 29 Join data with RELATED 3:39 Lecture 30 Iterator (X) functions SUMX 12:20 Lecture 31 Iterator (X) functions RANKX 5:33 Lecture 32 Basic date and time functions 4:58 Lecture 33 Time intelligence formulas 17:2 Lecture 34 Speed and performance considerations Lecture 35 DAX best practices

#### Section 5 : Conclusion

 Lecture 36 Final section 0:53 Lecture 37 Data visualization options 4:24