Efficient data ingestion - You will learn how to pull data from multiple sources into Power BI and combine it into consistent queries, so you can prepare analysis-ready datasets without moving files by hand.
Automated data preparation - You will master query creation and M code editing to automate data cleansing and transformation. This will help you reduce repetitive work whenever reports need to be refreshed.
Confident M coding - You will understand code structure, syntax rules, and special characters, so you can build simple queries on your own, adjust existing code, and work comfortably with blank queries.
Better type and value control - You will learn how to work with M values and types, from nulls and numbers to records, lists, and tables. This helps you avoid bad conversions and align data with your reporting model.
Effective table operations - You will practice table functions for building, converting, sorting, and transforming data. This will let you create repeatable preparation workflows for analysis datasets in Power BI.
Parameters and conditions - You will learn how to use table parameters, comparison criteria, sorting options, and conditional logic. This will help you build more flexible queries for different business scenarios.
Reliable error handling - You will learn how to detect and handle errors in M expressions, records, and let initializers. This will help you build more stable queries and troubleshoot refresh issues much faster.
Informed data modeling - You will explore the M value model, sections, metadata, and data type conversion, so you can make better design decisions when shaping data logic for Power BI reporting solutions.
Power BI basics - You should be comfortable navigating Power BI and know the basics of working in Power Query Editor, so you can focus on M language instead of learning the interface from scratch.
Tabular data handling - You should understand tables, columns, and rows, and know what filtering, sorting, and changing data types involve, because these operations will be your starting point.
Analytical thinking - You should be able to analyze relationships in data and understand simple logical conditions, because during the course you will build rules, transformations, and error handling.
Data transformation basics - You should have experience with basic data cleaning and preparing datasets for reports, so you can move more easily into automation, parameters, and hands-on M code work.
