Excel Data Mining and Data Scrubbing (Class 1)

 (1 day) 
*** WARNING: High Volume Class, Sign Up Early ***

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Overview
This course is for individuals responsible for taking data and turning it into powerful business intelligence solutions. With Power Query you can transform data (by reducing, adding columns, and combining data sets) so that it is setup for additional analysis. Power Query makes “data munging” and “data wrangling” easy for non-programmers working as data scientists.

This course takes an in-depth approach to the Power Query and will provide an introduction to the M language, allowing you to replay a series of transformations. This is helpful when readying data on a weekly, monthly or quarterly basis, saving you time on these repetitive tasks. M Code will also allow you to manipulate data using features that are not accessible via keyboard commands.

Audience
This class is for users of either Power BI, Excel Power Tools, or SQL Server Analysis Services (SSAS). While all three products have a very similar Power Query-related interface, the course will be taught using the Excel 2016 software. Users of Power BI and SQL Server should have no problems with the slight differences between products.

This course is aimed at Excel power-users, Power BI BI professionals, and Excel power-users who have a general familiarity with Power Query but need more knowledge and experience to take it to its full potential. Our Essential Report Building Skills Using DAX course is a great complement to this class and is also designed for users of Excel, Power BI or SQL Server. For details on this companion course, go to
Essential Report Building Skills Using DAX 

Prerequisites
While attendees do not need extensive prior experience with DAX formulas, it is recommended that they have taken either our "Analyzing Data with Power BI" or "Excel BI Tools" class or have similar experience.

Course Outline

Power Query Review
Power Query and Power BI
Power Query and Excel
Power Query Concepts
Power Query Walkthrough

Data Sources
Querying Relational Databases
Extracting Data from Files
Using Other Data Sources

Transforming Data with Power Query
Understanding Query Steps
Working with Columns
Filtering Rows
Sorting a Table
Changing Values in a Table
Unpivoting Columns and Rows
Transposing a Table
Creating Custom Columns

Introducing M
Writing M in the Query Editor
Understanding M Language Concepts
Creating Relationships between Tables in the Model
Lists Records and Tables
Functions

Working with Multiple Queries
Using One Query as a Source for Another
Working with Data from Different External data Sources
Appending Data from One Query to Another
Merging Two Queries
Explicit Calculated Field

Appendix: Power Query Recipes
Calculations
Table Transformations
Working with Data from the Web