Download all files to follow along with video and do homework is zipped folder here: https://ift.tt/2Y1Aa1S
To download individual files, visit class web site here: https://ift.tt/2tW1Ibd
This video teaches how to take raw data and perform Data Modeling so that you have the correct set of Proper Data Sets that allow you to efficiently and effectively perform Data Analysis. See how to Data Model with: 1) Spreadsheet formulas, 2) Power Query, and 3) Power Pivot’s Relationship feature and Implicit Measures.
This class : Data Analysis & Business Intelligence Made Easy with Excel Power Tools – Excel Data Analysis Basics = E-DAB Class – Sponsored by YouTube and taught by Mike Girvin, Highline College Instructor, Microsoft Excel MVP and founder of the excelisfun channel at YouTube. This is a free educational resource for people how want to learn about the Basics of Data Analysis and Business Intelligence using Microsoft Power Tools such as, PivotTables, Power Query, Power Pivot, Power BI Desktop and more.
Topics:
1. (00:12) Introduction
2. (00:27) What is Data Modeling?
3. (01:08) Download Files
4. (01:30) Topics Hyperlink List
5. (01:50) When to use VLOOKUP, Power Query or Power Pivot Relationships for Data Modeling
6. (02:48) When to use VLOOKUP, Power Query or Power Pivot Relationships for Data Modeling when you have Multiple Tables
7. (05:05) Spreadsheet Formulas and VLOOKUP Function to create a Data Model for Standard PivotTable Reports. See VLOOKUP, Table Formula Nomenclature and PivotTables.
8. (17:43) Power Query to import Data from an Access Database
9. (24:120 Power Query and the Merge Feature
10. (28:26) Power Query to Add Columns
11. (30:03) Load Power Query Transformation to Standard PivotTable Cache and create PivotTable
12. (31:11) Power Pivot Relationships for Multiple Tables for a Standard PivotTable Report
13. (36:15) Create Data Model PivotTable
14. (38:18) Power Pivot Com Add-in. Show Power Pivot Ribbon Tab in Excel.
15. (39:15) Look at Power Pivot Data Model
16. (41:25) Implicit vs. Explicit DAX Measures
17. (43:53) Summary