Power BI: Use Power Query to Transform Your Data
Friday, April 11, 2025
1-3 p.m. Central
2 CPE (2 non-technical)
Course code: 25WI-0015
View pricing
Online registration is not available due to server maintenance.
Please call 952-831-2707 between 7:30 a.m. and 4:30 p.m. Central to register.
This webcast is part of the 2020 Power BI Series. Please see below for the suggested viewing order.
Data can be messy! In other words, it is not always clean and neat. Data comes from various sources like text files, Excel spreadsheets, databases, report files, etc. This is how most data analysis projects fail - the inability to get the correct data.
This webcast focuses on using Power Query (Get and Transform) to clean, shape and transform your messy data while still allowing you a one-click refresh. We will review various data issues including appending files, combining multiple files from a folder, adding custom columns, unpivoting data, creating a lookup table, and much more.
This series is presented using Excel 2019/Office 365. Regardless of the version you are using, most concepts covered in this webcast series apply to all versions of Excel.
(bold) Explore the other webcasts in the 2020 Power BI Series:
Power BI - Introduction to MS Power BI Tools
Power BI - Prepare Your Data Efficiently for Excel Analysis
Power BI - Analyze Your Data With Excel Pivot Tables
Power BI - Create Excel Dashboards for Maximum Impact
Power BI - Go Beyond PivotTables with Power Pivot
Power BI - Use Advanced Calculations with DAX Formulas
Power BI - Use PBI Desktop to Create Reports and Dashboards
Power BI - Share Your Data Analysis using PowerBI.com
Major subjects
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Append files
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Combine multiple files from a folder
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Add custom columns
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Unpivot a table
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Create a lookup table from a table
Learning objectives
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Use Power Query to solve your data clean-up issues
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Determine how Power Query allows you to get more data into Excel
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Apply a one-click step to refresh your data
Who should take this program?
- Anyone who uses or wants to use Excel for data analysis
Pricing
|
Standard Member Fee |
$118.00
|
 Standard Nonmember Fee |
$142.00
|
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