Elevate your data preparation skills in Power BI by mastering the M
Language. Discover its purpose, structure, and applications to
efficiently perform essential data transformation and cleaning tasks
empowering you to build robust data pipelines.
Data preparation is often the most time-consuming and challenging aspect of the analytics process, leaving many professionals feeling overwhelmed and underprepared. In this course, Data Preparation in Power BI with the M Language, you’ll gain the ability to effectively prepare your data for insightful analysis. First, you’ll explore the purpose and structure of the M Language, providing a solid foundation for your data preparation journey. Next, you’ll discover how to access the Power Query advanced editor to harness the full potential of M language for your data tasks. Finally, you’ll learn how to perform common data transformation tasks, such as removing rows and columns, pivoting and unpivoting data along with the essential data cleaning techniques, such as trimming spaces, removing null values, and many more. When you’re finished with this course, you’ll have the skills and knowledge of the M Language needed to build robust data pipelines and streamline your data preparation process.
Language. Discover its purpose, structure, and applications to
efficiently perform essential data transformation and cleaning tasks
empowering you to build robust data pipelines.
Data preparation is often the most time-consuming and challenging aspect of the analytics process, leaving many professionals feeling overwhelmed and underprepared. In this course, Data Preparation in Power BI with the M Language, you’ll gain the ability to effectively prepare your data for insightful analysis. First, you’ll explore the purpose and structure of the M Language, providing a solid foundation for your data preparation journey. Next, you’ll discover how to access the Power Query advanced editor to harness the full potential of M language for your data tasks. Finally, you’ll learn how to perform common data transformation tasks, such as removing rows and columns, pivoting and unpivoting data along with the essential data cleaning techniques, such as trimming spaces, removing null values, and many more. When you’re finished with this course, you’ll have the skills and knowledge of the M Language needed to build robust data pipelines and streamline your data preparation process.
