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Excel Power Query Training - Beginners to Advanced level

Data modelling using get & transform for business intelligence and data analytics in Excel 2010 -2016 using Power Query

Created byAbhay Gadiya

Last updated 5/2025

English

What you'll learn

At the end of this Power Query Training you would understand 80% of features available in Power Query
You would be able to perform various complex data cleansing activities using Power Query
You would be able to automate various task which would have taken long hours of work.

Course content

12 sections • 44 lectures • 4h 51m total length

Power Query Introduction and Course courage14:28
In this video I have briefly described what is Power Query?, Why you should learn it? What is being covered in this Power Query Training course?
Instructor Introduction2:23
This video gives brief introduction about me and my work experience.

Import Data from Excel File5:55
As a first step to start using Power Query you need to learn how to import data into Power Query. In this video of Power Query training I have explained steps to import data from existing Excel file into Power Query for - Excel table, Named Ranges and Dynamic ranges in Excel sheet.
Import data from other files / folder6:55
In this video of Power Query Training I have explained steps for import data from different types of files viz.- CSV, Text files, Other excel files, Access files, etc.

Column Transformation8:59
What are the different types of column transformation that can be performed in Power Query using Ribbon interface are explained here viz. Unpivot columns using Power Query, Transpose Columns, Merge or Split Text in columns, etc.
Row Transformation7:21
Row transformation like promoting first row as header, remove duplicate rows, grouping rows which are equivalent to sumifs in excel are explained in detail in this Power Query Training video.

Text Transformation7:02
There are various inbuilt Text transformation in Power Query ribbon viz. Lower / Uppercase / Proper / First / Last / Middle character extraction, etc. These Text transformation have been explained in this video.
Numbers transformation3:09
How you can convert import numbers, adding / multiplying / dividing / rounding imported numbers using Power Query built in Number transformation from ribbon at explained in this video.
Date transformation2:43
You can extract year, start of the year / quarter / month, end of the year / quarter / month, Quarter, month, month name, day, day name, etc. using Power Query ribbon based commands. These are explained this video.
Conditional Column transformation2:10
How do you add a column based on fulfillment of particular condition from existing or other columns using Power Query ribbon interface is explained here. This is equivalent to IF function within Excel.

Append data from Excel tables within same Excel file2:49
How to append data stored in multiple sheets within existing Excel file is been explained in this video.
Append / Duplicate / Reference multiple Queries11:33
You might have imported data from multiple sources and have stored each instance as separate query. How to append data from these multiple queries is being explained in this video.
Import data from files in a folder7:29
In case you want to import various files stored in a single folder in one query itself rather than separate individual queries is being explained in this video. You can import all or selected files from a folder in one query itself.
Import data from multiple excel files in a folder5:18
In case you want to import data only from Excel files stored in a particular folder which contains other files as well then you would need to follow the steps mentioned in this video.
List of files in folder2:27
Instead of importing the data stored in files in a particular folder you want to create a list of ALL the files stored in that folder just to keep track of what is being received and what is pending then watch this video. This will explain how to create dynamic list of files stored in particular folder.
Changing file path for source data1:58
Now when you share the file which contains data imported from source other than existing file to your colleague or other person then the link to that source will be broken. Other person will have to change the source manually. The steps required to change the source is being explained in this video.

Multiple JOINS in power query (Merge Queries)8:19
Other than appending the data you want to consolidate or join the data. This same as applying VLOOKUP in Excel. However, these joins are more robust, faster and easy to change compared to other lookup functions in excel. This video will explain theory about different joins in Power Query.
Different Joins in Power Query - Part 211:47
In this video with the help of examples you will understand how you can perform joins using single or multiple columns in Power Query. Type of joins covered are Left Join, Right Join, Left Anti Join, Right Anti Join, Full outer join and Inner join (matching rows). This video will explain all the steps required to perform merging Power Queries.
Cross Joins / Cartesian Product of Two tables6:10
In addition to six types of joins there are situation where you would need to perform Cross Join or Cartesian Product of tables. These types of joins are useful for analyzing Events in Progress types of analysis. We will lookout at workaround in Power Query to perform this type of Cross Joins.

Introduction to building blocks in M5:11
This video will explain about some theory about M Language or Power Query Formula syntax.
Text functions in Power Query8:00
Other ribbon based Text transformation commands there are large number of Text Power Query Formulas. Frequently used Power Query Text formulas are explained in this video.
Date functions in Power Query6:53
Power Query also has various formulas that can work on Dates. Some of the frequently used formulas are explained in this video.
Conditional Functions in Power Query7:03
What are the Power Query Formulas which are Excel Equivalent functions - IFs, AND, OR & IFERROR are shown in this video with the help of an example.

Financial Statements7:14
In this first case study you want to convert the Financial statement data for multiple years into Tabular format. How do you apply all the power query knowledge gained till now is explained in this and other case studies.
Payroll Data6:40
How do you convert the Payroll data extracted from payroll system into proper tabular format is explained in this video.
Address Book6:42
You have a address book which contains data for each person stored in single row and stacked above each other. This video will explain the steps required to convert the stacked data into proper tabular format.
Multiple filters on single column6:23
You have a data set and then set of values which you want put as filter on the source data. These are multiple values stored as separate table. How to apply multiple value filters on single column is explained in this video using Merge query option.
Rows to columnar data set5:17
You have a data set which contains details stored in set of two rows. How you can convert those into Tabular Format using Power Query is explained here.
Looking up discount rates9:40
You have multiple lookup tables through which you need to calculate sales. How to perform this task using Power Query and getting data from multiple lookup values is explained in this video.
Invoice data4:43
You have sales data extracted from the system and someone else had created a pivot table on it. Now you do not have that source file and you need to convert this pivoted data using Unpivot function in Power Query is explained in this video.
Sales analysis (MaxIF, MinIF, MedianIF, SumIF) from multiple tables20:34
Other than just performing Data cleansing activities, Power Query can also perform various Data Analytics and first level statistical analysis as well. How you can perform multiple SUMIFS, MAXIFS, MINIFS, MEDIANIFS in power query is explained in this video.

List as object and List functions in Power Query11:42
There are few objects being introduced in Power Query. In this video explanation is provided about LISTS and how you can use it in your Power Query projects is explained here.
Record as object and Record functions in Power Query9:16
Details about Records as power query objects is being explained in this video.
Table & other objects and Table functions in Power Query3:10
Tables and other power query objects are explained in this video.
Power Query Objects - Recap1:15
This video contains recap of Power Query Objects - Lists, Records and Tables.

Requirements

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)

Description

What is POWER QUERY (PQ)?

It's a FREE tool provided by Microsoft for Excel users.

Yes you read it correctly. This tool is FREE !!!

And Power Query can make novice Excel user to PRO-Excel user very quickly & this training will make your journey easy and memorable.

Power Query is available for ALL users of Excel 2010 / 2013 / 2016 and PowerBI. In Excel 2016 it has been renamed as "Get & Transform".

This course topics can be applied for all versions of Power Query - Excel 2010 / 2013 / 2016 & Power BI.

Power Query is a tool that can be used for data discovery, reshaping the data and combining data ( Merge / Blend / Consolidate, etc.) coming from different sources. Power Query can connect directly to Excel, Access, Text, CSV, Hadoop, Sales Force, Azure and many other different sources of data.

You can perform and automate all the Extract > Transform > Load (ETL) tasks required to clean the data and make it usable for further analysis in Tableau, Power BI, Excel, Access, etc.

Power Query is a tool...

Tool that is very easy to learn even for novice excel users.
A tool that can extract / connect to data from almost any source.
Merge and shape data sourced to match your data analysis requirements
Prepare your data for further analysis and modelling by tools like Power Pivot, etc.
Keeps sequential record of all the steps performed from source till final output
You can review your automation steps later and easily modify it.

Thus, you can focus on turning data into insight and adding true value to your company and to yourself as well.

The best part is that most of the automation features in Power Query are located within its ribbon so you have to just click it with mouse and start your automation in Excel. This GUI is one of the most intuitive interfaces I have found in any tool yet.

For learning about Power Query you do not need to learn or have prior knowledge about any programming languages like Excel VBA or SQL, etc.

If you are planning to implement Data Analytics or Business Intelligence solutions using Power Pivot, Power View, Power Map, Power BI, Tableau, Python or R, etc. then you must learn Power Query before all these other tools.

Why should you learn Power Query?

Now let's try to relate how Power Query can be useful to you. See if you answer positively to any one of the questions enumerated below:

Do you work with data on daily basis?
Do you regularly build multiple dashboards?
Do you need to import data for above reporting from different sources?
You have to perform extensive data cleansing before your perform analysis?
Do you create Management Information Systems (MIS) reports regularly?
Are you working as part of any Data Analytics Projects / Power BI / Tableau / Business Intelligence Projects?
Do you use complex / advanced Excel formulas / Excel VBA coding (macros) / SQL?

You might need to perform any of the following activities before data becomes usable:

Filtering out data you don't need
Deleting / sorting rows, columns or blanks
Transforming text, numeric, and date columns.
Removing spaces and special characters from your data.
Fixing the layout into tabular format so that it will work in Pivot Tables
Renaming, adding / removing, Splitting / joining and reordering columns
Creating calculating columns / fields which never existed in the source data.
Merging / consolidating / appending data from Text files, CSV files or database tables.
Incorporating the next month (or period) data to an existing report.
Perform same steps again when receive new file or data in next month

... and many more laborious repetitive tasks that consumes your day in and out.

If you have answered positive for any of the questions or your job looks similar then you have come to right place - Power Query Training. It does not matter if you are a novice Excel user, or Advanced Excel user, you regularly code VBA / macros to automate repetitive task in Excel, this Power Query Training course is must for you.

In this course as a beginners you will learn all the features from scratch. And after completing this course you would be proficient in using almost 80% of features in Power Query. This will guide to how convert dirty data into clean data which you can provide to your Data Analytics or Business Intelligence or Data Visualization Software.

Thought process behind POWER QUERY and this training course:

I have noted at numerous occasions that people are not aware about these new amazing tools introduced by Microsoft. Also, few people who have heard about it but does find proper resource to learn about using this tool. Hence i thought of publishing this Power Query Training here so that you can learn in structured manner about how to perform various data cleansing task in Excel using Power Query.

You DO NOT need any programming, Excel VBA coding or SQL knowledge to start using Power Query. After completing this course you would be proficient in using Power Query and can immediately apply concepts to your work. You will move from Power Query newbie to proficient user after this course.

I can confidently tell you that your investment in this course will be paid off within a months by way of saving you lot of efforts and time while working on Excel. And if you are not satisfied from this Power Query Training you can get your money back within 30 days of enrolling into the course.

So Enroll quickly and start learning & using Power Query.

Who this course is for:

Novice Excel user to Advanced Excel users
People performing 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

Excel Power Query Training - Beginners to Advanced level

What you'll learn

Explore related topics

Course content

Power Query Introduction2 lectures • 17min

Import Data into Power Query2 lectures • 13min

Loading and Refresh1 lecture • 8min

Data Transformation2 lectures • 16min

In built transformation in Power Query4 lectures • 15min

Consolidate and Append Data6 lectures • 32min

Merge Queries / Multiple Joins in Power Query3 lectures • 26min

Building blocks for M language4 lectures • 27min

Case Studies - Part 18 lectures • 1hr 7min

Power Query Objects4 lectures • 25min

Requirements

Description

Who this course is for: