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Power BI and Power Query for Excel Users

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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.

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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:

  1. Define the business problem;

  2. Review and classify raw data and source systems;

  3. Load, transform, cleanse, and organize data into a data model;

  4. 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

  • Robert E
    Robert E
    Data Analytics and Business Intelligence Pro

Rating Distribution

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  • 2 stars: 0 votes
  • 3 stars: 0 votes
  • 4 stars: 0 votes
  • 5 stars: 2 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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