Power BI and Power Query for Excel Users
Power BI and Power Query for Excel Users, available at $44.99, has an average rating of 5, with 86 lectures, based on 2 reviews, and has 22 subscribers.
You will learn about Connect to external data sources Cleanse and transform data Model data Create measures (KPIs) Create reports This course is ideal for individuals who are Excel users looking to level up to Power Query and Power BI It is particularly useful for Excel users looking to level up to Power Query and Power BI.
Enroll now: Power BI and Power Query for Excel Users
Summary
Title: Power BI and Power Query for Excel Users
Price: $44.99
Average Rating: 5
Number of Lectures: 86
Number of Published Lectures: 86
Number of Curriculum Items: 86
Number of Published Curriculum Objects: 86
Original Price: $59.99
Quality Status: approved
Status: Live
What You Will Learn
- Connect to external data sources
- Cleanse and transform data
- Model data
- Create measures (KPIs)
- Create reports
Who Should Attend
- Excel users looking to level up to Power Query and Power BI
Target Audiences
- Excel users looking to level up to Power Query and Power BI
I’m a professional analyst with 18 years’ experience in BI in a corporate setting. This is exactly how I teach my new analysts.
For each project, there is an Excel version, a Power Query version, and a Power BI version. This reinforces learning, and you will see how Microsoft has ingeniously linked the platforms, and the role each one plays.
Some Courses Advertise Hundreds of Hours of Content…I keep it straight to the point. I will not be listing all the Excel functions, I will not be explaining every Power BI menu ribbon item…instead, we will jump straight into real projects, and I will guide you step-by-step through the analytics process.
We will approach each project the same way:
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Define the business problem;
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Review and classify raw data and source systems;
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Load, transform, cleanse, and organize data into a data model;
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Build the visualizations and reports
We will do an Excel version, a Power Query version, and a Power BI version.
Once you do a handful of projects, you will notice patterns to the process.
This is where things begin to “click”. And that’s more powerful than any course that simply walks you through what each function does and then has one Case Study at the end.
My goal is to help you see those patterns today and think and work like an analyst.
Follow along as we complete Real World projects.
Course Curriculum
Chapter 1: 1.0 AR Report – Project Overview
Lecture 1: Problem Statement and Preview of Final Product
Lecture 2: Project Structure and Outline
Lecture 3: Setting Expectations
Chapter 2: 1.1 AR Report – Excel version
Lecture 1: Load AR Data (Fact Table)
Lecture 2: Load dClientCode (Dimension Table)
Lecture 3: Create the ClientName Lookup
Lecture 4: Create the 'Days Overdue' Calculated Column
Lecture 5: Create the 1st Pivot Table Report
Lecture 6: Create the 2nd Pivot Table Report
Lecture 7: Create the 3rd Pivot Table Report
Lecture 8: Create the 3rd Pivot Table Report, slicer
Lecture 9: Where Excel Would Fall Short
Chapter 3: 1.2 AR Report – Power Query version
Lecture 1: File Overview
Lecture 2: Load AR Data (Fact Table)
Lecture 3: Load dClientCode (Dimension Table)
Lecture 4: Create The Relationships
Lecture 5: Create the Custom Column
Lecture 6: Create the 1st Pivot Table Report
Lecture 7: Create the 2nd Pivot Table Report
Lecture 8: Create the 3rd Pivot Table Report
Chapter 4: 1.3 AR Report – Power BI version
Lecture 1: File Overview
Lecture 2: Load AR Data (Fact Table)
Lecture 3: Load dClientCode (Dimension Table)
Lecture 4: Create The Relationships
Lecture 5: Create the 'Days Overdue' Calculated Column
Lecture 6: Create the 1st Report
Lecture 7: Create the 2nd Report
Lecture 8: Create the 3rd Report
Chapter 5: 2.0 Labor Analysis – Project Overview
Lecture 1: Problem Statement and Preview of Final Product
Lecture 2: Project Structure and Outline
Lecture 3: Setting Expectations
Chapter 6: 2.1 Labor Analysis – Excel Version
Lecture 1: File Overview
Lecture 2: Load the Data
Lecture 3: Create the Calculated Columns 1
Lecture 4: Create the Calculated Columns 2
Lecture 5: Create the Pivot Tables
Lecture 6: Where Excel Would Fall Short
Chapter 7: 2.2 Labor Analysis – Power Query Version
Lecture 1: File Overview
Lecture 2: Load the Data
Lecture 3: Create The Relationships
Lecture 4: Create the DAX Measure
Lecture 5: Create the Pivot Tables
Chapter 8: 2.3 Labor Analysis – Power BI Version
Lecture 1: File Overview
Lecture 2: Load the Data
Lecture 3: Create The Relationships
Lecture 4: Create the DAX Measure
Lecture 5: Create the Report
Chapter 9: 3.0 HR Turnover – Project Overview
Lecture 1: Problem Statement and Preview of Final Product
Lecture 2: Project Structure and Outline
Lecture 3: Setting Expectations
Chapter 10: 3.1 HR Turnover – Excel Version
Lecture 1: File Overview
Lecture 2: Load the Data
Lecture 3: Create the Calculated Columns
Lecture 4: Create the Pivot Table Report
Lecture 5: Where Excel Would Fall Short
Chapter 11: 3.2 HR Turnover – Power Query Version
Lecture 1: File Overview
Lecture 2: Load the Data
Lecture 3: Create The Relationships
Lecture 4: Create the Calendar Table
Lecture 5: Create the DAX Measure
Lecture 6: Create the Pivot Table Report
Chapter 12: 3.3 HR Turnover – Power BI Version
Lecture 1: File Overview
Lecture 2: Load the Data
Lecture 3: Create The Relationships
Lecture 4: Create the DAX Measure
Lecture 5: Create the Report
Chapter 13: 4.0 Dealer Interactions – Project Overview
Lecture 1: Problem Statement and Preview of Final Product
Lecture 2: Project Structure and Outline
Lecture 3: Setting Expectations
Chapter 14: 4.1 Dealer Interactions – Excel Version
Lecture 1: File Overview
Lecture 2: Load the Data
Lecture 3: Create the Calculated Columns
Lecture 4: Create the Report
Lecture 5: Where Excel Would Fall Short
Chapter 15: 4.2 Dealer Interactions – Power Query Version
Lecture 1: File Overview
Lecture 2: Load the Data
Lecture 3: Create The Relationships
Lecture 4: Create the Calendar Table
Lecture 5: Create the DAX Measures
Lecture 6: Create the Report
Chapter 16: 4.3 Dealer Interactions – Power BI Version
Lecture 1: File Overview
Lecture 2: Load the Data
Lecture 3: Create The Relationships
Lecture 4: Create the DAX Measures
Instructors
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Robert E
Data Analytics and Business Intelligence Pro
Rating Distribution
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- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 2 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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