Course curriculum

    1. Course interaction

    2. Introduction

    3. Orientation

    1. Pre-course survey

    1. Supplemental slides

    2. Supplemental files

    1. Chapter preview

    2. 01 - Data types

    3. 02 - Data type conversion

    4. 03 - Operators

    5. 04 - Exercise 1

    1. Chapter preview

    2. 05 - Formulas and arrays

    3. 06 - Spill behavior and spill operator

    4. 07 - Arrays - evaluate

    5. 08 - Arrays - myth buster

    6. 09 - Arrays - implicit intersection

    7. 10 - Spilling scalars

    8. 11 - SEQUENCE

    9. 12 - Lambda introduction

    10. 13 - Lambda basics

    11. 14 - Replicating lambdas

    12. 15 - Lambda helper functions

    13. 16 - UNIQUE

    14. 17 - FILTER

    15. 18 - Arrays and operators (orientation)

    16. 19 - Arrays and operators (behaviors)

    17. 20 - FILTER revisited

    18. 21 - Exercise 2

    1. Chapter preview

    2. 23 - Keep source data intact

    3. 24 - Structure source as a database table

    4. 25 - Sort table data

    5. 26 - Sort functions

    6. 27 - Filter table data

    7. 28 - Pivot table (Part 1)

    8. 29 - Pivot table (Part 2)

    9. 30 - Pivot table (Part 3)

    10. 31 - Keep data self-contained

    11. 32 - Data hierarchy

    12. 33 - Remove duplicates

    13. 34 - Import data

    14. 35 - Dynamic tables - introduction (Part 1)

    15. 36 - Dynamic tables - advantages (Part 2)

    16. 37 - Dynamic tables - from static to dynamic (Part 3)

    17. 38 - Dynamic tables - how tables expand/collapse (Part 4)

    18. 39 - Slicers

    19. 40 - Exercise 3

About this course

  • 87 lessons
  • 6.0+ hours of high-quality video
  • Supplemental files and slides