Complete M Language from Scratch in Power Query for Power BI

Connect data from diverse sources in Power BI, and transform and load it by cleaning and shaping for analysis. Automate these steps with the M language to streamline data preparation.

Open the Power Query Editor in Power BI Desktop to connect data from multiple sources, transform data, and write the M language from scratch for data analysis.

Master let and in keywords to declare and call variables in m language, with examples in power query demonstrating x and y and a final sum.

Explore the number data type in M language, covering integers and floating point numbers, with practical examples using let variables and summation in Power Query for Power BI.

Define the text data type by wrapping values in double quotes and using the ampersand to concatenate text, with name and greeting, and show that text cannot join a number.

Explore the boolean data type in M language, returning true or false from comparisons such as equals and not equals; see how case sensitivity affects boolean results with text values.

Discover the null data type in M language as a missing or undefined value, not equal to blank or zero, and note that concatenating with null yields null.

Master arithmetic operations in M language by performing addition, subtraction, multiplication, and division with examples using x equals 10 and y equals 5 in Power Query for Power BI.

Explore how comparison operators evaluate two values to return a boolean true or false, covering equals, not equals, less than, greater than, and their inclusive forms.

Master conditional logic in M language for Power Query using if-else statements to act on true or false conditions, compare numbers, and perform data transformations, including text checks like q1.

Learn to handle null values in Power Query by performing null checks and returning a missing value when input is null, otherwise returning the actual data.

Create and use parameters in Power Query to make queries reusable and adaptable for data sources and filters, supporting numbers, text, dates, booleans, and inputs to other queries.

Create a two-parameter custom function in M language for Power Query to multiply numbers, then a membership check assigns not available under 17, gold 18–40, or platinum.

Create a new query and a custom function in M language to calculate discounted revenue: if unit price is at least 100, apply 25% off, then multiply by quantity.

Create a custom function in m language named revenue calculation with unit price and quantity parameters, apply a 25% discount when unit price is at least 100, then compute revenue.

Create parameters and variables in M language to compute total price with a discount, then calculate total sales and classify performance as high, medium, or low by threshold.

Learn to build M language queries in Power Query for Power BI by creating parameters like discount rate, variables, and conditional logic to calculate total price and classify sales performance.