Power BI Bootcamp
via Noble Desktop
Affiliated with Course Report
Turn datasets into interactive reports in Noble Desktop's Power BI Bootcamp. The course covers importing information, cleaning it with Power Query, connecting tables, and creating visualizations. You also work with calculations and reporting tools so that a report can be explored and shared with the people who need its findings.
What's included with live classes
- Free course retake within one year to refresh the material and gain practice.
- Course workbook
- Class recordings
Overview
Power BI is well known as an industry leader for streamlining the process from data to insights. This fully featured app enables you to build interactive data visualizations such as charts, graphs, maps, and other useful ways to visualize your data to make it both informative and visually appealing. Power BI is a robust tool, giving you control over the look and feel of your visualizations to create dynamic reports and dashboards.
In this training, you’ll learn to import data from various sources (such as Excel Worksheets, Text/CSV, and more), transform the data using Power Query, and then turn it into visualizations. You’ll explore, structure, analyze, and filter the data to create useful reports and dashboards. Aggregate the data (using functions like SUM and COUNT) to gain insights. You’ll also begin to learn about Power BI’s DAX language, which powers its data calculations and more.
Topics included
Schedule & enrollment
Find dates that fit your schedule, then book on Noble Desktop.
- Live tuition
- $799
- Course length
- 12 hours
All class times are Eastern (ET).
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Dates
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Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
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Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
Confirm current dates and availability on Noble Desktop before booking. Enrollment opens in a new tab.
Self-paced tuition & enrollment
Learn through recorded lessons on your own schedule.
- Tuition
- $799
- Course length
- 12 hours
- Format
- Self-paced online
This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
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Curriculum
What you'll learn
- Import data from Excel worksheets, CSV, and many more
- Transform/clean your data using Power Query
- Create interactive visualizations, such as charts, maps, cards, and slicers, to explore trends and patterns
- Use DAX (Data Analysis Expressions) to build measures, calculated columns, and custom aggregations
- Design visually engaging reports by adding titles, logos, and formatting options for a professional finish
- Understand and manage relationships between tables to create dynamic, filterable reports
- Share and collaborate on reports via the Power BI Service
- Set up dashboards and explore the differences between dashboards and reports for business presentations
- Schedule data refreshes and manage reusable datasets to keep reports up-to-date and scalable
Course syllabus
Level 1
Introduction to Power BI
- Why Use Power BI?
- Power BI Desktop
- Power BI Pro vs. Free
- Explanation of ETL process (Extract, Transform, Load)
- Data Types
Creating a Visualization
- Importing Data
- Choosing different types of data visualizations (column charts, bar charts, pie charts, donut charts, and more)
- Cleaning Up the Appearance: Axis Labels, Display Units, Title, and more
- Adding Data Labels
- Card Visuals
Publishing & Sharing
- Publishing Reports (to app.powerbi.com)
- Sharing Reports
- Collaborate on Reports with Comments
- Adding a Power BI report to PowerPoint
- Workspaces: What are they, publishing to the appropriate workspace, and creating/managing
- Exporting a PDF
Links to Data Source Files
- How Power BI Links to Data Files
- Managing Links to Data Source Files
Extracting & Transforming Data
- Extracting data from various sources: Text/CSV files, Excel worksheets, Multiple Files in a Folder, and more
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Transforming data using the Power Query Editor:
ETL = Extract, Transform, Load
ELT = Extract, Load, Transform
Data Transformations
- Use First Row as Headers
- Remove Empty rows (null data)
- Split Column By Delimiter
- Applied Steps
- Merge Queries
- Append Queries
- Fill Down
- Transpose
- Pivot
- Column profiling for data quality check
- Query Dependencies
Relationships
- Relationship importance
- Understanding types of relationship
- Creating relationships
- Cross filter relation: Single or Both
Building/Design a Report
- Adding a Title
- Adding a Logo
- Adding a Background (Solid Color or Photo)
Measures
- Create Measures
- Using Measures in a Data Visualization
Calculated Columns
- Using DAX to create a Calculated Column
- Navigating Related Tables using DAX
Slicers
- What Slicers Are
- Adding & Using a Slicer
Level 2
Filters
- Adding Filters
- Adjusting Filter settings
Intro to DAX: Data Analysis Expressions
- SUM vs SUMX
- CONCATENATEX
- COUNT vs COUNTX
Quick Measures
- YTD (Year-to-Date)
- Year-over-year change
Map Visuals
- Creating and Customizing a Map Visual
Drill Down & Drill Through
- How to use Drill Down
- How to use Drill Through
- How Drill Down differs from Drill Through
Getting Data from Online Spreadsheets
- Getting Data from a Google Sheet
- Getting Data from Excel File Stored in OneDrive
Refreshing Data
- How Datasets work in the Power BI Service
- Manually Refreshing or Scheduled Refresh
Reusable Power BI Datasets
- About Reusable Power BI Datasets
- Creating & Using Power BI Datasets
Dashboards
- Dashboards vs Reports
- Creating a Dashboard
Self-paced course
Learn through recorded lessons on your own schedule.
This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
View self-paced tuition & enrollmentPower BI is a leading platform designed to streamline the journey from data to insights. This powerful tool allows you to create interactive data visualizations, including charts, graphs, maps, and dashboards, that are both visually engaging and analytically meaningful. With full control over the look and functionality of your reports, Power BI helps transform complex datasets into clear, dynamic visuals.
In this hands-on course, you’ll learn to import data from multiple sources—including Excel, Text/CSV, and SQL—using Power Query. You’ll explore, structure, and filter data, apply aggregation functions such as SUM, COUNT, and MIN/MAX, and build visualizations that highlight key insights. You’ll also be introduced to Power BI’s DAX language, which enables advanced calculations and customized data modeling for deeper analysis.
Self-paced curriculum
What you'll learn self-paced
- Import and clean data from multiple sources, including Excel, CSV, and online databases, using Power Query
- Create interactive visualizations, such as charts, maps, cards, and slicers, to explore trends and patterns
- Use DAX (Data Analysis Expressions) to build measures, calculated columns, and custom aggregations
- Design visually engaging reports by adding titles, logos, and formatting options for a professional finish
- Understand and manage relationships between tables to create dynamic, filterable reports
- Share and collaborate on reports via the Power BI Service, including exporting, commenting, and app integration
- Set up dashboards and explore the differences between dashboards and reports for business presentations
- Schedule data refreshes and manage reusable datasets to keep reports up-to-date and scalable
Self-paced syllabus
Level 1
Introduction to Power BI
- Why Use Power BI?
- Power BI Desktop
- Power BI Pro vs. Free
- Explanation of ETL process (Extract, Transform, Load)
- Data Types
Creating a Visualization
- Importing Data
- Choosing different types of data visualizations (column charts, bar charts, pie charts, donut charts, and more)
- Cleaning Up the Appearance: Axis Labels, Display Units, Title, and more
- Adding Data Labels
- Card Visuals
Publishing & Sharing
- Publishing Reports (to app.powerbi.com)
- Sharing Reports
- Collaborate on Reports with Comments
- Adding a Power BI report to PowerPoint
- Workspaces: What are they, publishing to the appropriate workspace, and creating/managing
- Exporting a PDF
Links to Data Source Files
- How Power BI Links to Data Files
- Managing Links to Data Source Files
Extracting & Transforming Data
- Extracting data from various sources: Text/CSV files, Excel worksheets, Multiple Files in a Folder, and more
-
Transforming data using the Power Query Editor:
ETL = Extract, Transform, Load
ELT = Extract, Load, Transform
Data Transformations
- Use First Row as Headers
- Remove Empty rows (null data)
- Split Column By Delimiter
- Applied Steps
- Merge Queries
- Append Queries
- Fill Down
- Transpose
- Pivot
- Column profiling for data quality check
- Query Dependencies
Relationships
- Relationship importance
- Understanding types of relationship
- Creating relationships
- Cross filter relation: Single or Both
Building/Design a Report
- Adding a Title
- Adding a Logo
- Adding a Background (Solid Color or Photo)
Measures
- Create Measures
- Using Measures in a Data Visualization
Calculated Columns
- Using DAX to create a Calculated Column
- Navigating Related Tables using DAX
Slicers
- What Slicers Are
- Adding & Using a Slicer
Level 2
Filters
- Adding Filters
- Adjusting Filter settings
Intro to DAX: Data Analysis Expressions
- SUM vs SUMX
- CONCATENATEX
- COUNT vs COUNTX
Quick Measures
- YTD (Year-to-Date)
- Year-over-year change
Map Visuals
- Creating and Customizing a Map Visual
Drill Down & Drill Through
- How to use Drill Down
- How to use Drill Through
- How Drill Down differs from Drill Through
Getting Data from Online Spreadsheets
- Getting Data from a Google Sheet
- Getting Data from Excel File Stored in OneDrive
Refreshing Data
- How Datasets work in the Power BI Service
- Manually Refreshing or Scheduled Refresh
Reusable Power BI Datasets
- About Reusable Power BI Datasets
- Creating & Using Power BI Datasets
Dashboards
- Dashboards vs Reports
- Creating a Dashboard
What's included with self-paced
- Course workbook
- Self-paced video lessons
Self-paced lessons
Watch free previews and explore the lessons included with enrollment at Noble Desktop.
Power BI Bootcamp (Self-Paced)
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Course Overview & Setup
Lesson 1: Getting Started with Power BI
0:55
Introduces the structure of the Power BI course and explains how to use class files, PDFs, and step-by-step guides to build skills progressively.
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Overview of Power BI
Lesson 1: Getting Started with Power BI
10:00
Explains what Power BI is, how it’s used for business intelligence, and how it compares to Excel, including an overview of Desktop, Service, and mobile access.
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Enrollment required
Installing the Power BI Desktop app
Lesson 1: Getting Started with Power BI
1:14
Walks through installing Power BI Desktop via the Microsoft Store, explaining update cycles and how to launch the application.
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Create our First Visualization
Lesson 1: Getting Started with Power BI
16:02
Demonstrates importing data and creating basic visuals like tables and column charts while explaining data types and automatic visual suggestions.
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Publishing and Sharing Reports
Lesson 1: Getting Started with Power BI
10:35
Covers publishing reports to the Power BI Service, including workspaces, sharing options, licensing, and browser-based access.
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Managing Links to Data Source Files & Refreshing Data
Lesson 1: Getting Started with Power BI
2:15
Explains how Power BI connects to external data sources rather than embedding files and how to manage paths and refresh data.
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Transforming Data
Lesson 2: Transforming Data Using Power Query
10:00
Introduces Power Query for data transformation, including cleaning data, handling missing values, and improving performance through upstream changes.
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Merge Queries
Lesson 2: Transforming Data Using Power Query
10:00
Explains merging tables in Power Query to combine related data and introduces normalized data concepts and lookup tables.
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Append Queries
Lesson 2: Transforming Data Using Power Query
8:13
Demonstrates appending queries to combine multiple tables with the same structure into a single dataset.
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Fill and Transpose
Lesson 2: Transforming Data Using Power Query
5:16
Covers advanced transformations such as fill down and transpose to correct poorly structured data.
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Unpivot & Merge Columns
Lesson 2: Transforming Data Using Power Query
10:26
Demonstrates unpivoting data, combining date fields, assigning correct data types, and preparing datasets for time-based analysis.
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Query Dependencies
Lesson 2: Transforming Data Using Power Query
1:43
Explores Query Dependencies to visualize how data sources and transformations connect and to troubleshoot complex models.
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Getting Data from Multiple Files in a Folder (Appending from Folder)
Lesson 2: Transforming Data Using Power Query
4:59
Demonstrates importing and automatically appending files from a folder to support scalable data updates.
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Relationships
Lesson 3: Building the Adventure Works Report
10:00
Explains creating relationships between fact and dimension tables and introduces star schema modeling.
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Adventure Works Importing Data and Building Relationships
Lesson 3: Building the Adventure Works Report
10:00
Walks through building a relational model using AdventureWorks data and validating automatically detected relationships.
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Enrollment required
Adventure Works Designing and Building the Report
Lesson 3: Building the Adventure Works Report
7:20
Focuses on report design using text boxes, images, alignment tools, and layout best practices for professional presentations.
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Adventure Works Intro to DAX Adding the Current Date
Lesson 3: Building the Adventure Works Report
7:22
Introduces DAX by creating a simple date measure and explains the difference between measures and calculated columns.
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Adventure Works DAX Calculated Columns Profit or Loss
Lesson 3: Building the Adventure Works Report
14:04
Demonstrates creating calculated columns with DAX and using relationships and the RELATED function across tables.
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Adventure Works Removing the Default White Background from Visuals by editing the Theme
Lesson 4: Visuals, Slicers, and More
2:00
Shows how to customize Power BI themes to remove default styling and apply consistent global design changes.
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Adventure Works Adding more visuals
Lesson 4: Visuals, Slicers, and More
3:17
Builds additional visuals to analyze sales by customer attributes while demonstrating interactive filtering.
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Adventure Works Slicers
Lesson 4: Visuals, Slicers, and More
20:24
Introduces slicers as interactive filters and demonstrates layout improvements and user-friendly labeling.
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Adventure Works SUM vs SUMX
Lesson 4: Visuals, Slicers, and More
12:01
Explains the difference between SUM and SUMX in DAX and why iterator functions are needed for row-level calculations.
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Adjusting a Desktop Report for Mobile Devices
Lesson 4: Visuals, Slicers, and More
2:58
Demonstrates optimizing reports for mobile using the mobile layout view and adjusting visuals for smaller screens.
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Global Superstore Import Data, Define Relationships, and Create Visuals
Lesson 5: Building the Global Superstore Report
10:00
Walks through importing and modeling Global Superstore data to reinforce ETL and star schema concepts.
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Global Superstore Intro to Filters
Lesson 5: Building the Global Superstore Report
10:00
Introduces visual-, page-, and report-level filters and explains when filters are preferable to slicers.
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Global Superstore Top N Filter and Filter Across All Pages
Lesson 5: Building the Global Superstore Report
7:00
Demonstrates Top N filters to highlight best- and worst-performing items and explains how ties affect results.
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Global Superstore Sales by Country Page
Lesson 5: Building the Global Superstore Report
9:27
Builds a multi-page report analyzing sales by country using slicers and geographic comparisons.
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Global Superstore Edit Interactions
Lesson 5: Building the Global Superstore Report
4:16
Explains how to control visual interactions to compare filtered values against unfiltered totals.
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Global Superstore Controlling Filtering with SUM and SUMX
Lesson 6: Diving Deeper into DAX
8:46
Demonstrates using SUM and SUMX to control whether calculations respect or ignore filters.
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Global Superstore CONCATENATEX, COUNT, and COUNTX
Lesson 6: Diving Deeper into DAX
7:42
Introduces CONCATENATEX, COUNT, and COUNTX for advanced aggregations and dynamic titles.
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Global Superstore CALCULATE
Lesson 6: Diving Deeper into DAX
5:03
Explains how CALCULATE applies filters within DAX expressions to create reusable measures.
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Global Superstore Matrix Visual with Conditional Formatting Icons and Data Bars
Lesson 6: Diving Deeper into DAX
4:10
Builds a matrix visual with conditional formatting to highlight performance trends at a glance.
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Global Superstore Quick Measures
Lesson 6: Diving Deeper into DAX
7:21
Uses Quick Measures to generate common DAX calculations like YTD and YoY while keeping measures organized.
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Global Superstore Maps
Lesson 7: Maps, Drill Down, and Drill Through
6:14
Creates map visuals with Azure Maps and explains data categorization and geographic field requirements.
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Global Superstore Drill Down
Lesson 7: Maps, Drill Down, and Drill Through
10:41
Demonstrates drill-down using hierarchies to move between summary and detailed views.
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Global Superstore Drill Through
Lesson 7: Maps, Drill Down, and Drill Through
6:21
Builds drill-through navigation between report pages while preserving filter context.
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Global Superstore Scheduling Data Refreshes and Getting Data
Lesson 8: Refreshing Data, Dashboards & Databases
Explains local refresh versus scheduled refresh in the Power BI Service using OneDrive and shared models.
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Dashboards
Lesson 8: Refreshing Data, Dashboards & Databases
4:02
Explains how Power BI dashboards aggregate pinned visuals while linking back to underlying reports.
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Connecting to a Database
Lesson 8: Refreshing Data, Dashboards & Databases
4:00
Demonstrates connecting Power BI to databases like SQL Server and compares Import and DirectQuery modes.
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Course Outro
Lesson 8: Refreshing Data, Dashboards & Databases
0:13
Encourages continued practice to improve efficiency, confidence, and the ability to build original Power BI reports.
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Course Reviews
Is this course right for you?
Choose this course for a foundation in Power BI reporting. If you already build reports and want deeper work on data models, date tables, and access controls, compare Power BI Advanced before repeating the introductory material.