Dl4All Logo
Tutorials :

Power Query Essentials Combining And Restructuring Data

   Author: Baturi   |   08 September 2026   |   Comments icon: 0


Power Query Essentials Combining And Restructuring Data

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Power Query Essentials Combining And Restructuring Data, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 530.51 MB | Duration: 0h 48m
Combine and reshape scattered spreadsheets into fast, reliable reports.

What you'll learn



Stack rows from multiple data sources with append.
Consolidate files from a folder into one table.
Join customer details to sales transactions using merge.
Identify matching and unmatched rows with merge joins.
Convert column headers into row values using unpivot.
Transform awkward reporting layouts into clean datasets.
Create new categories based on specific data conditions.
Flag records as 'valid' or 'invalid' with custom rules.
Summarize data by single or multiple grouping fields.
Calculate totals and counts before loading raw data.
Compare two datasets to find missing or changed values.
Design a repeatable workflow for ongoing data updates.

Requirements


Basic knowledge of Microsoft Excel, including working with tables and worksheets.
Microsoft Excel with Power Query (Excel 2016 or later, or Microsoft 365) or Power BI Desktop installed.
Familiarity with basic spreadsheet concepts such as rows, columns, and headers.
No previous Power Query experience is required. This course teaches each feature step by step.

Description


This course includes downloadable course instructor files and exercise files to work with and follow along.Power Query Essentials: Combining and Restructuring Data teaches you how to reshape messy, scattered data into tables that are ready for real analysis. This course gives you a practical toolkit for cleaning and combining information before it reaches Excel or Power BI, so your reports stay accurate as your data grows. Many spreadsheets look tidy but hide structural problems. Quarterly figures split across columns, sales files scattered across regions, and duplicate records buried in separate systems all block simple tasks like charting trends or filtering by a single category. The course starts by naming these problems, so you know exactly what to fix and why it matters.From there, you learn how to build core Power Query skills. Appending stacks of similar tables into one, while merging joins related tables to add new context. Conditional columns apply if-then logic without formulas, grouping pre-summarises data like a built-in pivot table, and unpivoting turns wide tables into a long, structured format. These skills come to life in real situations. You combine monthly sales files into a single report, merge transaction data with customer details, flag inventory as reorderable or healthy, and reconcile two systems to catch missing or changed records.By the end, you will know how to clean, reshape, and combine data with confidence, then load it into a report that refreshes automatically. This course is suitable for analysts, Excel users, and anyone who works with data from multiple sources.What You'll Learn:• Stack rows from multiple data sources with append.• Consolidate files from a folder into one table.• Join customer details to sales transactions using merge.• Identify matching and unmatched rows with merge joins.• Convert column headers into row values using unpivot.• Transform awkward reporting layouts into clean datasets.• Create new categories based on specific data conditions.• Flag records as 'valid' or 'invalid' with custom rules.• Summarize data by single or multiple grouping fields.• Calculate totals and counts before loading raw data.• Compare two datasets to find missing or changed values.• Design a repeatable workflow for ongoing data updates.This course includes:48 minutes of video tutorials8 individual video lecturesCourse and Exercise Files to follow alongCertificate of completion
Excel users who want to clean and combine data more efficiently.,Data analysts who prepare data for reports and dashboards.,Business professionals who work with data from multiple files or systems.,Power BI users who want to improve their data preparation skills.,Anyone who wants to automate repetitive data cleaning and transformation tasks.,Beginners who are new to Power Query and want a practical, step-by-step introduction.

Homepage


https://www.udemy.com/course/power-query-essentials-combining-and-restructuring-data/


Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me


No Password - Links are Interchangeable

Free Power Query Essentials Combining And Restructuring Data, Downloads Power Query Essentials Combining And Restructuring Data, Rapidgator Power Query Essentials Combining And Restructuring Data, Mega Power Query Essentials Combining And Restructuring Data, Torrent Power Query Essentials Combining And Restructuring Data, Google Drive Power Query Essentials Combining And Restructuring Data.
Feel free to post comments, reviews, or suggestions about Power Query Essentials Combining And Restructuring Data including tutorials, audio books, software, videos, patches, and more.

[related-news]



[/related-news]
DISCLAIMER
None of the files shown here are hosted or transmitted by this server. The links are provided solely by this site's users. The administrator of our site cannot be held responsible for what its users post, or any other actions of its users. You may not use this site to distribute or download any material when you do not have the legal rights to do so. It is your own responsibility to adhere to these terms.

Copyright © 2018 - 2025 Dl4All. All rights reserved.