Power Query and M Language the easy way | Udemy

Companies are gathering more and more data everyday. Skills in data analysis, business intelligence / business analytics are highly in demand in today’s job market. Microsoft Power BI is an advanced yet easy to use self service Business Intelligence / business analytics tool for that. It is same business intelligence. tools used by professional analysts and data scientists. Therefore they rely heavily on data. Data driven decision making is the key to success for any business in the world of tomorrow.

Imagine how much power you when you know how to clean big data. Microsoft included power query and M language Engine virtually in every data product. You will be very surprised that you did not learn this earlier.

One of the advantages of technology and having the skill is the opportunity it offers to scale your business and career. To be more productive, you need to work smarter. With low-code/no-code tools Microsoft Power Query and M Language, you can extract data from different sources, clean, reshape, remove, prepare, generate new data mashup, append and merge data .

This is the most comprehensive and complete course in power query. We are going to cover over hundreds of data transformations in this course. We are covering Power Query in depth in this course does. Absolutely no experience required in Power Query or M Language. We will start from the basics and gradually build up your knowledge. I will introduce you to some great features of Power query and M Language with hands on demos. after completing this course you be able to transform you data like DBAs and ETL Developers.

You do not have to learn R or python anymore. I am going to teach you to become data scientist just learn power query and M because you already know how to clean data. You can follow along with the provided learning material on your own computer at your own pace. I will basically hold your hand and teach you everything step-by-step.

• Understand Power Query and its components
• Understand power query to connect and explore your data
• How to explore, reshape and enrich your data
• How to create calculated columns
• How to shape or transform data to match your data analysis requirements.
• How to refresh a query to import the latest data into a table
• How to combine data from multiple data sources
• How to filter a table based on size, value, or condition.
• How to sort a table ranked by a criteria, such as the alphabetical or numerical value of one or multiple columns, and by ascending or descending order.
• How to group rows in a table
• How to expand/extend a column
• How to aggregate data from a column by group operation, including sum, count, average, min, and max.
• How to Insert a custom column into a table — Insert an Index or custom column
• How to Combine multiple queries by merging or appending them.
• There is no coding required! Power Query allows you to do that but it’s not necessary.
• Build complex and custom transformation
• Write M code to add/delete/transform custom columns
• Implement best practice in Power Query and M language

This Course Also Comes With:

• Lifetime access to all future updates
• Fast & friendly support in the Q&A section
• Custom notes, homework exercises, checklists, templates, course quizzes to help get results faster
• Udemy certificate of completion ready for download
• A 30 days “no questions asked” money back guarantee!

Here is list of lectures :

• What are you going to learn in this course
• Thank you and how to get support
• What is Power Query
• Why Microsoft created Power Query and why use it
• Power Query Interface Components
• First things first
• M Language Type Structures Values
• M Language Type Primitive Values
• M Language Operators
• What are Lists and how to create them using M Language
• What are Tables and Records
• Create initial pbix file
• Data Source and Privacy Settings
• Using Parameters in Report-0
• Using Parameters in Report-1
• Using Parameters as File Path or Data Source
• Query Options
• Manage Column using M Language
• Reduce Rows using Power Query
• Reduce Rows using M Language
• Sort Order for Data and Filters using Power Query
• Sort Order for Data using M Language
• Split Column using Power Query
• Split Column using M Language
• Group by or Grouping Data using Power Query-0
• Group by or Grouping Data using Power Query-1
• Group by using M Language
• Data Type using Power Query and M
• Headers as first row and First row as Headers using Power Query and M
• Replace Values using Power Query and M
• Merge Tables using Power Query-0
• Merge Tables using Power Query-1
• Append Tables using Power Query-0
• Append Tables using Power Query-1
• Group by or Grouping Data using Power Query-0
• Group by or Grouping Data using Power Query-1
• Headers as first row and First row as Headers using Power Query and M
• Transpose-Reverse-Count Rows using Power Query and M
• Data Type and Rename using Power Query and M
• Replace – Fill using Power Query and M
• Pivot – Unpivoting using Power Query
• Move – Convert to List using Power Query
• Split Column using Power Query 0
• Split Column using Power Query 1
• Split Column using M Language
• Format – Trim – clean -Lower – Upper Case using Power Query
• Format – Trim – clean -Lower – Upper Case using M Language
• Merge Columns using Power Query and M Language
• Extract using Power Query and M Language
• Parse XML Data using Power Query and M Language
• Parse JSON Data using Power Query and M Language
• Statistics using Power Query and M Language
• Standard and Scientific using Power Query and M Language
• Trigonometry – Rounding – Information using Power Query and M Language-0
• Trigonometry – Rounding – Information using Power Query and M Language-1
• Date Transformation using Power Query and M Language-0
• Date Transformation using Power Query and M Language-1
• Time-Duration Transformation using Power Query and M Language
• Column From Example using Power Query and M Language
• Custom Column using Power Query and M Language-0
• Custom Column using Power Query and M Language-1
• Invoke Custom Column using Power Query and M Language-0
• Invoke Custom Column using Power Query and M Language-1
• Conditional Column using Power Query and M Language
• Index Column using Power Query and M Language-0
• Index Column using Power Query and M Language-1
• Duplicate and Merge Column using Power Query and M Language
• Format – Trim – clean -Lower – Upper Case using Power Query
• Format – Trim – clean -Lower – Upper Case using M Language
• Extract using Power Query and M Language
• Parse XML Data using Power Query and M Language
• Parse JSON Data using Power Query and M Language
• Statistics using Power Query and M Language
• Standard and Scientific using Power Query and M Language
• Trigonometry – Rounding – Information using Power Query and M Language
• Date Transformation using Power Query and M Language-0
• Date Transformation using Power Query and M Language-1
• Time- Duration Transformation using Power Query and M Language
• Query Setting in View Tab-0
• Query Setting in View Tab-1
• Data Preview 1 in View Tab
• Data Preview 2 in View Tab
• Create Calendar using M Language and DAX
• Power Query Best Practices-0
• Power Query Best Practices-1
• Power Query Best Practices-2
• Mega searchable tutorials o Power BI, DAX, SQL and Power Query
• Best Practices Power BI-0
• Best Practices Power BI-1
• Best Practices Power BI-2
• Best Practices Power BI-3
• Best Practices Power BI-4
• Best Practices Power BI-5
• DIAD – Introduction
• DIAD – Accessing Data
• DIAD – Data Prepration-0
• DIAD – Data Prepration-1
• DIAD -Data Modeling and Exploration-0
• DIAD -Data Modeling and Exploration-1
• DIAD -Data Modeling and Exploration-2
• DIAD -Data Modeling and Exploration-3
• DIAD -Data Modeling and Exploration-4
• DIAD – Data Visualization-0
• DIAD – Data Visualization-1
• DIAD – Publishing Report
• DIAD – Creating Dashboards
• DIAD – Creating Dashboards-0
• DIAD – Creating Dashboards-1