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+--- Thread: Power Query For Data Transformation Beginners To Pro (/Thread-Power-Query-For-Data-Transformation-Beginners-To-Pro--706504)
Power Query For Data Transformation Beginners To Pro - AD-TEAM - 12-05-2024
![[Image: d3ada96caa3b5d1dbc9a8b83d7eeb462.jpg]](https://i124.fastpic.org/big/2024/1205/62/d3ada96caa3b5d1dbc9a8b83d7eeb462.jpg)
Power Query For Data Transformation Beginners To Pro
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.09 GB | Duration: 1h 40m
Learn Power Query for data cleaning, transformation, pivoting, grouping, merging, and advanced Excel techniques
What you'll learn
Master Power Query for data cleaning and transformation
Create Conditional Columns to classify data
Use Column by Example for custom transformations
Merge and append datasets for analysis
Build If Statements for data logic
Pivot and unpivot data for reporting
Group and summarize data for insights
Apply joins and date calculations in workflows
Requirements
Basic understanding of Excel or spreadsheet software
No prior experience with Power Query is required; the course starts with the fundamentals
A computer with Excel
Willingness to practice and apply Power Query techniques to real-world data
Curiosity and a desire to improve data analysis and automation skills
Description
Learn the basics of Power Query to clean, transform, and automate data tasks in Excel. This beginner-friendly course simplifies data workflows, helping you unlock insights with ease.What You Will Learn in This Class
ata Types in Power Query: Understand and manage different data types for accurate transformations.Importing Data: Learn to import data from various sources and establish connections efficiently.Conditional Columns: Create dynamic columns based on logic without complex formulas.Column by Example: Automate column transformations by providing simple examples.Merging Columns: Combine columns effortlessly to streamline your data.Filtering and Sorting: Organize data by applying filters and sorting for better insights.Functions: Use built-in Power Query functions for advanced data manipulations.Pivot and Append Queries: Reshape data by pivoting and combining multiple datasets.Unpivot Without Aggregation: Transform columns into rows without losing details.Grouping Data: Aggregate and organize data into meaningful groups.Appending Queries: Merge multiple tables or datasets into one cohesive table.Importing Data from a Folder: Load and consolidate data from files in a folder.Joining Queries: Perform various joins (inner, outer, left, anti) to merge datasets effectively.Hands-On Practical Examples: Apply these skills in real-world scenarios for impactful results.This course is packed with practical demonstrations to help you become confident in Power Query!Who This Class is For:Beginners: Anyone new to Power Query looking to learn data transformation basics.Excel Users: Individuals wanting to enhance their data handling and analysis skills.Data Analysts: Professionals seeking to simplify and automate repetitive data tasks.Small Business Owners: Those managing data and creating reports without advanced tools.Students: Learners eager to build practical data manipulation skills for academic or career growth.Freelancers: Independent workers aiming to deliver efficient data solutions to clients.No prior experience is needed-this course is designed to guide you step-by-step! Overview
Section 1: Chapter 1
Lecture 1 Introduction
Lecture 2 What We can Do with Power Query
Lecture 3 Excel vs Power Query
Lecture 4 Data Types in Power Query
Section 2: Chapter 2
Lecture 5 Import Data in Power Query
Lecture 6 Connection Query
Section 3: Chapter 3
Lecture 7 CONDITIONAL COLUMN
Lecture 8 CONDITIONAL COLUMN ADVANCE
Lecture 9 COLUMN BY EXAMPLE ADVANCE
Lecture 10 MERGE COLUMN
Lecture 11 FILTER AND SORTING
Lecture 12 ADD DAYS FUNCTION
Lecture 13 COLUMN BY EXAMPLE
Section 4: Chapter 4
Lecture 14 PIVOT AND APPEND QUERY
Lecture 15 PIVOT AND DONT AGGREGATE
Lecture 16 UNPIVOT
Section 5: Chapter 5
Lecture 17 GROUPING
Section 6: Chapter 6
Lecture 18 APPENDING QUERY MULTIPLE TABLE
Section 7: Chapter 7
Lecture 19 IMPORT FROM FOLDER
Section 8: Chapter 8
Lecture 20 JOIN IN POWER QUERY
Lecture 21 JOIN IN POWER QUERY PRACTICAL
Lecture 22 JOIN POWER QUERY ADVANCE
Lecture 23 OUTER JOIN VS XLOOKUP VLOOKUP
Lecture 24 JOIN WITH MULTIPLE FIELDS
Data Analysts looking to automate tasks,Excel Users wanting advanced data skills,Business Analysts handling large datasets,Students aiming to enhance data analysis skills,Power BI Users learning data preparation
![[Image: hDdQGAcz_o.jpg]](https://images2.imgbox.com/b7/0b/hDdQGAcz_o.jpg)
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