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Power Query M Language with Specialize in Web Scraping (Udemy.com)

Power Query M Language programming secrets to take you to the next level.

4.3

80 reviews

Created by: Data Chunks

Last updated August 2020

What you will 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
Web scraping using lists
Dynamic table creation using M language
Nested Let & Variables scope
M language Record functions
Power query M language Index function secrets
Input & dynamic parameters
Web scraping projects using M functions

How it compares

Against the other 355 rated Udemy courses in Excel on CourseDuck:

Rating4.3 out of 5higher than 13% of them
Reviews80#340 of 356 by number of reviews
Length3.8 hoursshorter than 66% of them
Last updatedAugust 2020earlier than 74% of them

Course Description

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.

About me

My name is Muhammad Asif, and I will be your instructor in this course. I have more than ten years of experience in data & analytics with one of the world's leading organizations. I am a Microsoft certified solution expert in data analytics & management.

I have developed several data models, dashboards & reports for a different line of services. You can learn from my experience, and I will share each and everything. I aim to spread the knowledge by simplifying hard concepts.

I wish you all the best for your journey in Power BI & M formula language.

All Levels

Time: 3.8h

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Instructor Details

Data Chunks

4.3 Rating
80 Reviews

I am Muhammad Asif Microsoft® Certified Solutions Expert- Data management and analytics with more than 10 years of experience in the field of business intelligence & Data analytics.

My expertise lies in assessing complex business requirements, compiling market and trend data, designing and testing software to accelerate efficiency and revenue growth. I have expertise in Microsoft Business Intelligence stack, visualization & analytical tools like SSRS and Power BI to analyse massive dataset. Analyses datasets with the help of python and DAX programming to extract actionable insights that will help drive business decisions.

I have completed a Master degree in Computer Science from Linköping University, Sweden in order to augment my qualifications. With a proven track record of successfully aggregating business data and developing solutions to improve business processes, I am confident to teach my students and can deliver ground level industry knowledge & expertise.