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Mastering Power Query for Data Transformation and Analysis

This section establishes a strong foundation by clarifying what Power Query is and why it has become essential for modern Excel and Power BI users. Participants will understand how it differs from traditional spreadsheet-based data cleaning and why it significantly improves efficiency, accuracy, and scalability.

By the end of this course, participants will be able to:

• Explain what Power Query is and its role in data preparation
• Locate Power Query in both Microsoft Excel and Microsoft Power BI
• Differentiate Power Query from manual cleaning, formulas, and VBA
• Navigate the Power Query interface confidently

 
Who This Course Is For

• Excel users handling recurring reports
• Analysts transitioning to Power BI
• Supervisors managing data consolidation
• Professionals tired of repetitive data cleaning tasks

Methodologies

• Live Walkthrough Demo – Open messy raw data and show the Power Query workflow from scratch.
• Before-and-After Comparison Exercise – Compare manual cleaning vs. automated transformation using Power Query.

Course Outline
1. Introduction to Power Query

• What is Power Query?
• Where to find it in Excel and Power BI
• Benefits vs. traditional Excel tools (manual cleaning, formulas, VBA)
• Overview of the Power Query interface (Ribbon, Queries pane, Applied Steps)

2. Connecting to Data Sources

• Importing from Excel files, CSV, TXT
• Connecting to external sources (databases, web data, SharePoint, folders)
• Differences between “Load to Table” and “Load to Data Model”

3. Fundamentals of Data Shaping

• Removing rows/columns
• Filtering and sorting data
• Splitting and merging columns
• Changing data types
• Using “Applied Steps” and undoing transformations

4. Combining Queries

• Append Queries (stacking tables)
• Merge Queries (VLOOKUP equivalent)
• Understanding join types: Left, Right, Inner, Full Outer

5. Data Cleaning Tools

• Remove duplicates
• Trim and clean text
• Fill down / fill up values
• Replace values (manual and advanced)
• Handling nulls and blanks

6. Transforming Data

• Pivoting and unpivoting columns
• Group By (aggregating data)
• Conditional columns (IF logic inside Power Query)
• Extracting text (LEFT, RIGHT, MID equivalents)
• Working with date/time transformations

Related Courses

Advanced Excel Level 2

Extensive MS Excel

Basic MS Excel

​Macros and VBA Programming

​Excel for Data Analytics

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