Power Query and M Language the easy way

About Power Query and M Language the easy way

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

o-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