Power Query For Data Transformation Beginners To Pro

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:Data 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