Power Query M Language with Specialize in Web Scraping
Power Query M Language programming secrets to take you to the next level.
What you’ll learn
- Introduction to Power query M language
- Rename & sorting using M code
- Secrets of List functions in Power query M language
- M query for group by aggregation
- Top N records for each category dynamically
- How to do error handling
- There is no such prerequisites but knowledge of Power query would be helpful
What is M formula language
One of the most critical and challenging tasks in any data analytics project is data transformation & data cleaning. We need to prepare the data to make it suitable for analysis to retrieve useful insights.
In the world of power bi, we have a Power query like an ETL for the data warehouse. Whenever we perform any operation on the data, the power query generates M code, a formula language. M formula language contains a rich set of different functions for data transformation & cleaning.
Why learn M formula language
In power bi, we have a graphical user interface that we use to perform different operations on the data. Still, unfortunately, this interface is minimal. We cannot perform all the data related operations on it by using a graphical user interface.
Almost every month, Microsoft releases new versions of Power BI, which have new graphical tools in the power bi ribbon. However, we still have to depend on the unique features of the power query graphical user interface.
We can overcome this dependency by learning the Power Query M language. M language is much more powerful than the Power query because the entire underlying auto-generated code will be in our hands.
In this course, You will learn all the building blocks of Power query M language to master it on your own.
This course will give you a clear path about the M language on how to implement any available function for data transformation.
New upcoming features & functions will be added in this course from time to time.
I wish you all the best for your journey in Power BI & M formula language.
Who this course is for:
- Excel users
- Data Analysts
- Business Intelligence constultants