Power Query Courses

What is Power Query ?

Power Query is a data connection and transformation tool that is part of Microsoft Excel and Power BI.

It allows users to connect to various data sources, such as Excel files, databases, web pages, and other file formats, and transform the data into the desired format for analysis or reporting purposes.

It provides an intuitive graphical interface for performing complex data transformations, such as merging tables, splitting columns, filtering and sorting data, and aggregating data.

It also includes a powerful language called “M” for advanced data transformations, which allows users to write custom queries for manipulating data.

It makes it easy to create repeatable, automated data cleaning and transformation processes, reducing the time and effort required for data preparation.

It also provides the ability to refresh data sources automatically and apply data transformations on the fly, making it an efficient and powerful tool for data analysts and business users.

Here’s an example code snippet for Power Query that demonstrates how to perform some common data transformations, including filtering, grouping, and pivoting data:

let
    Source = Excel.Workbook(File.Contents("C:\Data\SampleData.xlsx"), null, true),
    Sheet1_Sheet = Source{[Item="Sheet1",Kind="Sheet"]}[Data],
    #"Promoted Headers" = Table.PromoteHeaders(Sheet1_Sheet, [PromoteAllScalars=true]),
    #"Filtered Rows" = Table.SelectRows(#"Promoted Headers", each ([Sales] > 10000)),
    #"Grouped Rows" = Table.Group(#"Filtered Rows", {"Region"}, {{"Total Sales", each List.Sum([Sales]), type number}}),
    #"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[Region]), "Region", "Total Sales", List.Sum)
in
    #"Pivoted Column"

This code loads data from an Excel file, promotes the first row to headers, filters rows where sales are greater than 10,000, groups the data by region and calculates the total sales, and finally pivots the data to create a summary table that shows the total sales by region.

The resulting table is returned as the output of the query.

New to Udemy? Lucky you.

Courses start at INR 449 ( $6 only). Get your new-student offer before it expires.

Here is the Collection of the Top courses

Courses could not be fetched. Please try again.

Power Query students also learn

how power query is useful to the business?

Power Query is a data transformation and data preparation tool that is part of Microsoft Power BI and Microsoft Excel. Power Query can be extremely useful for businesses in a number of ways:

  1. Data integration: Power Query can help businesses to integrate data from various sources into a single dataset. This can help to create a unified view of business data that is more comprehensive and useful for analysis.
  2. Data cleaning: Power Query allows users to clean and transform data in a way that makes it more usable for analysis. This can include removing duplicates, filling in missing values, and converting data types.
  3. Data enrichment: It can be used to enrich data by adding additional information to it. For example, users can use Power Query to add demographic data to customer data, which can help businesses to better understand their customers and create more targeted marketing campaigns.
  4. Automating data workflows: It allows users to automate the process of collecting, cleaning, and transforming data. This can save time and reduce the risk of errors that can occur when data is manually processed.
  5. Collaboration: It can be used to share data with others in a secure and controlled way. This can help businesses to collaborate more effectively and ensure that everyone is working with the same data.

Overall, Power Query can be a powerful tool for businesses looking to improve the quality and usability of their data. It can help businesses to make better decisions by providing them with more accurate and comprehensive data for analysis.

Agile project management Artificial Intelligence aws blockchain cloud computing coding interview coding interviews Collaboration Coursera css cybersecurity cyber threats data analysis data breaches data science data visualization devops django docker excel flask Grafana html It Certification java javascript ketan kk Kubernetes machine learning machine learning engineer Network & Security nodejs online courses online learning Operating Systems Other It & Software pen testing Project Management python Software Engineering Terraform Udemy courses VLAN web development