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Connect and transform data with Power Query

Connect and transform data with Power Query

Data cleaning is the most time-consuming part of any data analyst’s job. In Mastering Power Query for Power BI, you will learn how to turn messy, disjointed data into clean, analysis-ready models using Power Query.

You will learn how to connect and import data from diverse sources and transform them using modern tools in Power Query.
15 Students
40 Lectures

What Will You Learn?

Understand Power Query’s role within the Power BI ecosystem
Connect to data from Excel, text files, PDFs, folders, and databases
Apply essential data cleaning techniques for rows, columns, and data types
Detect and fix data quality issues using column profiling tools
Reshape data using split, pivot, unpivot, and group operations
Combine datasets using merge and append queries
Create advanced calculated, conditional, and custom columns
uild scalable, repeatable data transformation workflows

About This Course

Power Query is the backbone of effective Power BI reporting. In this course, Mastering Power Query for Power BI, you will learn how to confidently connect to multiple data sources, clean messy real-world data, and build reusable, efficient data transformation workflows using Power Query.


Designed for aspiring data analysts, business intelligence professionals, finance analysts, and reporting professionals, this hands-on course will equip participants with practical skills for transforming and shaping data in real business environments.


You will start by understanding the Power Query environment, storage modes, and data sources, then progress into practical data cleaning, profiling, restructuring, and combining datasets. By the end of the course, you’ll be able to prepare high-quality, analytics-ready data that powers accurate dashboards and insights in Power BI.



Who this course is for

1. Beginners looking to build a strong foundation in Power BI data preparation
2. Analysts who want to automate and optimize data cleaning tasks
3. Professionals working with messy, multi-source business data
4. Anyone who wants to move beyond manual Excel cleaning into modern BI workflows

Thomas Festus Cudjoe
Thomas Festus Cudjoe
(20)
35 Courses
2217 Students
Festus is a Senior Data Analyst, Finance Professional, and Chartered Accountant (CIMA & ICAG) with 7+ years of experience in analytics and business intelligence. He specializes in Power BI, SQL, Python, financial modeling, and AI-driven analytics. At FestMan, he delivers practical, project-based training in Excel, Power BI, Python, SQL, and Applied AI for work. Festus is a Microsoft Certified Trainer, Power BI Certified Analyst, Microsoft Excel Expert, and a 4x Microsoft Data Platform MVP.

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Curriculum Overview

This course includes 7 modules, 40 lessons, and 3:57 hours of materials.

Data Connection & Ingestion
10 Parts | 0:45 Hours
Introduction to the course

Introduction to the course

Study Duration 1 Minutes
Attachments 0
Download Exercise Files

Download Exercise Files

Study Duration 1 Minutes
Attachments 0
Introduction to the module

Introduction to the module

Study Duration 4 Minutes
Attachments 0
Data Connectors in Power BI

Data Connectors in Power BI

Study Duration 3 Minutes
Attachments 0
Import data from Excel

Import data from Excel

Study Duration 6 Minutes
Attachments 0
Data from Text and PDF

Data from Text and PDF

Study Duration 7 Minutes
Attachments 0
Combine data from folder

Combine data from folder

Study Duration 10 Minutes
Attachments 0
Connect to relational databases

Connect to relational databases

Study Duration 8 Minutes
Attachments 0
Scrape data from the web

Scrape data from the web

Study Duration 1 Minutes
Attachments 0
Select Storage modes

Select Storage modes

Study Duration 4 Minutes
Attachments 0
Data Cleaning & Profiling
10 Parts | 1:12 Hours
Introduction to the Power Query editor

Introduction to the Power Query editor

Study Duration 13 Minutes
Attachments 0
Introduction to basic transformations

Introduction to basic transformations

Study Duration 3 Minutes
Attachments 0
Identify column headers

Setting column headers

Study Duration 7 Minutes
Attachments 0
Date types

Date types

Study Duration 8 Minutes
Attachments 0
Manage columns

Manage columns

Study Duration 7 Minutes
Attachments 0
Column profiling

Column profiling

Study Duration 17 Minutes
Attachments 0
Transform data

Transform data

Study Duration 1 Minutes
Attachments 0
Manage rows

Manage rows

Study Duration 6 Minutes
Attachments 0
Split columns

Split columns

Study Duration 5 Minutes
Attachments 0
Transform by data type

Transform by data type

Study Duration 5 Minutes
Attachments 0
Shaping & Combining Data
6 Parts | 0:36 Hours
Introduction to Merge and Append

Introduction to Merge and Append

Study Duration 5 Minutes
Attachments 0
Apppend Queries

Apppend Queries

Study Duration 6 Minutes
Attachments 0
Merge queries

Merge queries

Study Duration 9 Minutes
Attachments 0
Introduction to Pivot and unpivot

Introduction to Pivot and unpivot

Study Duration 4 Minutes
Attachments 0
Pivot data

Pivot data

Study Duration 2 Minutes
Attachments 0
Unpivot data

Unpivot data

Study Duration 10 Minutes
Attachments 0
Grouping data
1 Parts | 0:01 Hours
Group and summarize data

Group and summarize data

Study Duration 1 Minutes
Attachments 0
Adding new columns
5 Parts | 0:30 Hours
Add columns - General

Add columns - General

Study Duration 3 Minutes
Attachments 0
Add Columns from examples

Add Columns from examples

Study Duration 7 Minutes
Attachments 0
Add Custom column

Add Custom column

Study Duration 6 Minutes
Attachments 0
Add Conditional Column

Add Conditional Column

Study Duration 6 Minutes
Attachments 0
Add columns from data types

Add columns from data types

Study Duration 8 Minutes
Attachments 0
Duplicate and reference queries
5 Parts | 0:25 Hours
Duplicate vs reference query

Duplicate vs reference query

Study Duration 6 Minutes
Attachments 0
Duplicate Queries deepdive

Duplicate Queries deepdive

Study Duration 7 Minutes
Attachments 0
Reference Queries deepdive

Reference Queries deepdive

Study Duration 3 Minutes
Attachments 0
Working with Query dependencies diagram

Working with Query dependencies diagram

Study Duration 4 Minutes
Attachments 0
Loading data

Loading data

Study Duration 5 Minutes
Attachments 0
Projects
3 Parts | 0:28 Hours
Project 1A - Working with real world data

Clean and transform economic data from BOG

Study Duration 4 Minutes
Attachments 0
Project 1B - Working with real world data

Clean and transform economic data from BOG

Study Duration 9 Minutes
Attachments 0
Project 1c - Working with real world data

Clean and transform economic data from BOG

Study Duration 15 Minutes
Attachments 0
Certificates
1 Parts
Course Certificate
Course Certificate
If you pass all the lessons in this course, you will receive this certificate.
Type Course Certificate
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Connect and transform data with Power Query
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This Course Includes

Official Certificate
Course Forum

Course Specifications

Sections
7
Lessons
40
Capacity
Unlimited
Duration
3:14 Hours
Students
15
Created Date
17 Jan 2026
Updated Date
1 Mar 2026
Thomas Festus Cudjoe
Thomas Festus Cudjoe

Founder & Lead Instructor

(20)
Microsoft Certified Trainer
Microsoft Certified Excel Expert
Microsoft Certified Power BI Analyst
Google Certified Data Analyst
Microsoft Office Specialist: Excel 2013
Microsoft MVP
10 courses launched
Microsoft Certified Excel Expert

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