Publication date : 10/07/2025

Course : Power Query, the self-service ETL

Extract, transform and load external data in Excel 2016-2013

Practical course - 2d - 14h00 - Ref. PQE
Price : 1430 € E.T.

Power Query, the self-service ETL

Extract, transform and load external data in Excel 2016-2013


Required course

A complement to Excel 2013, and integrated into Excel 2016, Power Query offers functions for importing and transforming data from a variety of sources. You'll learn how to use this tool to define queries and adapt data to your analysis needs with Excel.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Available in English on request

Ref. PQE
  2d - 14h00
1430 € E.T.




A complement to Excel 2013, and integrated into Excel 2016, Power Query offers functions for importing and transforming data from a variety of sources. You'll learn how to use this tool to define queries and adapt data to your analysis needs with Excel.


Teaching objectives
At the end of the training, the participant will be able to:
Understanding Microsoft's business intelligence (BI) offering
Connect to external data sources
Use Power Query to clean and format data
Intervene in queries using the graphical interface and discover the M language

Intended audience
Excel users who need to analyze external data sources (text files, Access databases, SQL Server, SSAS cubes, etc.).

Prerequisites
Good knowledge of Excel, formulas and pivot tables.

Course schedule

1
Introducing Power Query

  • Discover Microsoft's BI offering for Excel.
  • Power Query, Power Pivot, Excel.
  • Using Power Query: why and how?

2
Import data

  • Discover the "Data/Recover and Transform" group.
  • Create queries and connect to data sources.
  • Use text and .csv files.
  • Connect to relational databases (Access, SQL Server, etc.).
  • Connect to SSAS cubes.
  • Querying web data.
  • Manage data updates and exploit them in Excel.
Hands-on work
Create connections to import text files. Import data into Excel.

3
Transform data with the query editor

  • Sort and filter data.
  • Choice of rows and columns.
  • Eliminate duplicates and errors.
  • Format text, numbers and dates.
  • Split columns.
  • Replace values.
Hands-on work
Use data manipulation tools to reformat and modify data types. Separate zip codes and cities, first and last names. Update modified data.

4
Handling tables

  • Add tables.
  • Merge tables.
  • Group rows. Select statistical functions.
  • Rotate a table.
Hands-on work
Merge different sources. Use relationships between database tables. Create an aggregate table. Define a source from a SQL query.

5
Adding calculated data

  • Create new columns.
  • Add indexes.
  • Create calculated columns.
  • Define new columns with formulas.
Hands-on work
Create calculated columns with arithmetic operators.returnchariot Fill in missing values.returnchariot

6
Further information

  • Reading, understanding and modifying queries: an introduction to the M language.
  • Edit queries in the formula bar.
  • Use the advanced editor.
Hands-on work
Use the advanced editor to read and modify graphical queries. Design calculated column definitions in M language.


Customer reviews
4,6 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
LAUREEN N.
26/02/26
5 / 5

Beaucoup de mise en pratique, très bien.
ALEXIS L.
26/02/26
4 / 5

Support et formation globalement satisfaisante cependant je pense que 2 jours c’est un peu trop, cela pourrait se faire en 1 jours et demi sans difficultés.
JULIETTE N.
26/02/26
4 / 5

Contenu conforme à mes attentes, et complet, avec un support détaillé pour reproduire les exercices vus ensemble



Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Last places available
Guaranteed date, in person or remotely
Guaranteed session

REMOTE CLASS
2026 : 23 Mar., 9 June, 25 June, 7 Sep., 8 Sep., 8 Oct., 22 Oct., 10 Dec.

PARIS LA DÉFENSE
2026 : 25 June, 7 Sep., 8 Oct., 10 Dec.