Power Query in Microsoft Excel and Power BI have become indispensable tools, helping users transform data from many different sources quickly and flexibly.
While basic Power Query is powerful, to really turn raw data into valuable information, you need to overcome the following challenges:
Complex and heterogeneous data: Handle CSV, Excel files with messy structures, fragmented data, or need to combine from different sources with mismatched formats.
Optimize performance: When working with large amounts of data, it is important to know how to write efficient queries to avoid slowdowns and crashes.
Deeper automation: Desire to create custom functions, parameterize queries for reuse and reduce manual effort.
Deep understanding of the M language: This is the "heart" of Power Query, allowing you to refine, debug, and write more complex commands that the user interface cannot accommodate.
Connect to diverse data sources: Master how to connect and convert data from database systems (SQL Server, Access), web API, directories...
Main content of the Advanced Power Query course
This course will delve into more complex topics, making you an expert in data preprocessing:
Review and improve basic transformations:
Optimize common transformation steps: Split Columns, Merge Columns, Unpivot Columns, Pivot Columns.
Use advanced conditions (Conditional Columns) and complex Text, Number, Date/Time functions.
Working with M Language:
Understand the structure and syntax of the M language.
Write M queries directly in the Advanced Editor.
Debugging and error handling in M code.
Use advanced and custom M functions.
Connect and transform data from multiple complex sources:
Folder: Combine hundreds of Excel/CSV files in one folder automatically.
Web Data: Extract data from websites (Web Scraping) using HTML tables or API.
Database: Optimize connection and query data from SQL Server, Access.
Data Flows (in Power BI Service): Introduction to preparing data in the cloud.
Parameters & Custom Functions:
Create and use parameters to make queries more flexible (e.g. change file path, report year).
Build custom M functions to reuse complex transformation logic, saving time and ensuring consistency.
Advanced techniques in data transformation:
Advanced Group By: Group data with multiple aggregation operations.
Advanced Merge & Append: Merge types (Full Outer, Left Anti, Right Anti) and complex Append cases.
Buffer Tables/Lists: Optimize performance when working with large amounts of data.
Handling Errors and Exceptions: Error Handling Techniques in Power Query.
Performance optimization and query management:
Practice tips and tricks to speed up Power Query processing.
Manage queries and query groups in an organized manner.
Introduction to Query Folding and its impact on performance.
Who should take this course?
The Advanced Power Query course is suitable for:
Data Analyst: Want to prepare data more effectively for reports and Dashboards.
Accounting, Finance Specialist: Need to automate data aggregation from multiple tables and files.
HR, Marketing Specialist: Want to clean and prepare customer data, survey data.
Anyone who already knows basic Power Query: And wants to deepen their knowledge, master this tool to improve work productivity.
