Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: aac, 44100 Hz
Language: English | Size: 4.27 GB | Duration: 17 sections | 70 lectures | (8h 9m)

You would be able to automate various task which would have taken long hours of work.

What you’ll learn

At the end of this Power Query Training you would understand basic to advanced level of M Language

Custom M Function, Parameters, Readymade Power Query Patterns

You would be able to perform various complex data cleansing activities using Power Query


You should have basic knowledge of using Excel.

You should be aware about Table feature in Excel.

You should have Excel 2010 / 2013 / 2016 version installed in your PC.

You would need to install Power Query if you are using Excel 2010 or 2013. (will be shown during the course intro)


This course is COMBO of my two individual courses –

Excel Power Query – Bners

Advanced Excel Power Query – M Language, troubleshoot, Custom M function, Power Query patterns

Here are some of the reviews for above courses –

"A great class – worth the money and investment. Instructor convey’s knowledge with a clear and concise approach. He continues to offer little nuggets of information where you will find yourself saying: 1 – "whoa – wait a second, rewind – he did what?" 2 – "WOW – now that is cool!" The level to training you receive from Abhay – well worth the investment. " – Bart W.

Awesome, must for bners and advanced users of Power Query. I simply had to question myself whether i should enroll in multiple courses or this single course? And deciding factor for me was learning in multiple courses would have been similar and enrolling in this single course i would have learn more areas compared to multiple courses. – Morgan Seth

Abhay has produced an excellent course on how to manage some of the more complex tasks in PQ. In particular the thought processes applied in utilising patterns in data cleansing are extremely useful in understanding how to massage data into a usable format. A Goto video for me when struggling to get data how I want. – Mike Pease

It seems to be the course on Power Query that I was looking for. I had enrolled into multiple course but learned the same thing over again, this course covered lot of things. Better to enroll into this one course instead of multiple courses. – MG

At the outset I thank you for showing interest in this course.

In this video I will provide overview of all the contents of this course and what are basic requirements before you enroll into this course. So let’s get started.

There are four major areas I will be covering as part of this course. The first one is for troubleshooting the Power Query errors and workaround for limitation of Power Query. In real any software is not foolproof and has its own limitation. Also, if you don’t use the software as programmed you may encounter errors. And I hope you would agree that error codes or description in most of the software are not that user friendly or they do not provide appropriate solution to resolve the error. Hence in this first section I will show some of the common areas where you face Power Query limitation and errors. Some of them are as follows:

Error encountered with adding / rename / deleting a particular column headings.

Handling null values during arithmetic calculation.

Identify error rows encountered while creating or on refresh of query.

Multiplying effect when you JOIN queries

Issues with filters and how to use advanced filters.

Then the next area is for advanced case studies. Similar to my starter course of Excel Power Query where I have shown you more than 20+ real life case studies of applying power query, here also I have taken some real life case studies which require some more in depth knowledge of Power Query and workaround. This section will be updated new case studies as and when I see some interesting datasets. The current video are related to

Applying local setting when converting the dates fields

Leave dataset which needed leave details to be broken into separate rows from a single cell.

Unstack the dataset which has uneven details

Combine multiple rows data back to single cell.

Then next section is for advanced M concepts. Here I will give you more information related to M Language in Power Query. What syntax is to be used under advanced editor. How to create parameters and use it inside your power query. How to create new custom M function using PQ interface or through advanced editor. I will also show how you can troubleshoot the custom M function you have created using advanced editor. Then I will show you how you can organize your multiple queries in separate groups. Further I will also show how to use Query Dependency view which will give you visual presentation of all the queries inside your excel file. This will help you understand the flow of all the data from source till the final output, where it is loaded or which queries are referenced to each other. All precedents and dependents to your queries can be easily identified.

And now finally in last section I will be providing some readymade patterns for power query. I will provide all the power query code which you can copy paste into your file and start using it. You will not need to create any new query for these patterns. Since creating these patterns using power query requires lot of efforts and also very complex I am providing you these as ready to use.

So now before you enroll I would like to tell you that there are few requirements.

First one is that you should have latest version of Power Query installed if you are using Excel 2010 / 2013 or if you are using Excel 2016 then it should be updated.

Second and most important is that you should have prior knowledge of using Power Query.

So that is it. There are no further requirements other than these two. So what are you waiting for, enroll now into the course.

Who this course is for:

Novice Excel user to Advanced Excel users

People perfog Data Analytics in Excel, Power Pivot, Power BI, Tableau, Python, R

Business Intelligence Specialists using Excel, Tableau, Power Pivot, Power BI, Python, R

Data Analysts / Financial Analysts using Excel, Tableau, Power Pivot, Power BI, Python, R

If you or your team needs to fetch data from different sources and transform it so that it can be used in Excel for further analysis, then this course will help you master Power Query features from scratch

IT specialists who performs Extract Transform & Load (ETL) activities for business





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