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Power BI Training in Toronto, Vancouver, Montreal & Across Canada

Power BI Reporting:
Beginner to Expert. Now with AI.

Power BI Power Pivot Power Query DAX Copilot Claude AI

  • For finance, operations, HR and business teams
  • Live Online | 2 Weeks (09 sessions, 2 hrs each)
  • 14 Advanced Power BI Dashboards | 5 Other Projects

Company moving to Microsoft Fabric? This course has a Fabric track too. See the track →

(2K+ Professionals enrolled)

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Power BI Training – Program Overview

Training Schedule

View Schedule

2 Weeks | 18 Hours

09 Sessions, 2 Hrs Each

Live Online, Instructor-Led

Pre-Requisite

Excel Formulas, Pivots & Charts

Power BI Course Fee

$999

Check what’s included?

Power BI Reporting

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Batch starts on

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From Beginner to Expert

Power BI Expertise + AI = The Reporting Professional of 2026.

From zero to pro in 2 weeks. 8 sessions to master Power BI — dashboards, DAX, data modeling, Power Query. 2 sessions to apply AI — Copilot and Claude for Power BI. First you learn to build. Then you learn to build faster.

Tools You'll Master in Power BI Training

Visualization Tool

Power BI

Data Modeling Tools

Power Pivot, DAX 

Data Transformation Tool

Power Query 

Data Analysis & Calculation Tool

DAX 

AI for Power BI

Copilot + Claude AI

What You’ll Achieve in Just 2 Weeks with Power BI Training?

Build professional dashboards - the ones your leadership uses to make decisions.

Clean data with Power Query – set it up once; it refreshes itself.

Design data models – so the numbers match across every report.

Write DAX with confidence – growth, running totals and the KPIs your business tracks.

Combine data from various sources – Excel, CSV and SQL (import mode).

Apply AI to your workflow – Copilot and Claude to speed up reporting, and know when they're wrong.

Deliver a live dashboard at work – it becomes your certification project.

What You’ll Achieve in Just 2 Weeks with Power BI Training?

Build professional dashboards - the ones your leadership uses to make decisions.

Clean data with Power Query – set it up once; it refreshes itself.

Design data models – so the numbers match across every report.

Write DAX with confidence – growth, running totals and the KPIs your business tracks.

Combine data from various sources – Excel, CSV and SQL (import mode).

Apply AI to your workflow – Copilot and Claude to speed up reporting, and know when they're wrong.

Deliver a live dashboard at work – it becomes your certification project.

Ideal For:

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Finance & Operations

Month-end packs, forecasts and trends — without the copy-paste.

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Data Analysts

Sharpening visualization and reporting skills.

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Business Analysts

Turning data into interactive reports and dashboards.

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Managers

Answers on demand, instead of waiting for the next report.

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HR, Sales & Marketing Teams

Build the reports you now wait on others for. No technical background needed.

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IT & Database Professionals

Creating business reports without deep SQL knowledge.

A snapshot of what you'll be learning in 2-weeks.

Power BI Course Syllabus

Power BI

Building Blocks of Power BI
  • Visualizations
  • Datasets
  • Reports
  • Dashboards
  • Tiles
Building Your First Power BI Report
  • Connect to Data Sources in Power BI Desktop
  • Clean and Transform Your Data With the Query Editor
  • Create a report in Power BI Desktop
  • Publish the report in the Power BI service
Data Modelling with Power BI
  • Fundamentals of Modelling
  • How to Manage Your Data Relationships
  • Create Calculated Columns
  • Optimizing Data Models for Better Visuals
  • Create measures and work with time-based functions
  • Create Calculated Tables
  • Explore Time-Based Data
Visualizations
  • Create and Customize Simple Visualizations
Building compelling data visualizations
  • Identify metrics and pair them with appropriate data visuals
  • Using slicers
  • Creating Map Visualizations
  • Creating Tables and Matrixes
  • Creating Waterfall and Funnel Charts
  • Using Gauges and Single Number Cards
  • Charting Options including Formatting with Colors, Shapes, Text Boxes, Images, etc.
Designing User-friendly reports
  • Customize themes
  • Create versatile layouts for your reports
  • Design principles to reduce noise and highlight data stories
Creating interactive reports for data exploration
  • Filtering & drilling for insights
  • Difference between filters & slicers
  • Filter pane for reporting needs

DAX Functions

Overview
  • What is DAX?
  • Data Types
  • Table-Valued Functions
  • Building a Calendar Table
  • Date and Time Functions
  • Filter Functions
  • Information Functions
  • Logical Functions
  • Mathematical and Trigonometric Functions
  • Statistical Functions
  • Text Functions
  • Time Intelligence Functions
  • Creating Advanced DAX Measures With Advanced DAX Functions
Creating Advanced Dax Measures With Advanced Dax Functions
  • Calculate()
  • All()
  • Filter()
  • IF()
  • Switch()
  • SumX()
Evaluation Context
  • Filter Context
  • Row Context
  • Using RELATED in a Row Context
  • Filters and Relationships
  • USERELATIONSHIP
Hierarchies in DAX Querying with DAX Relationships
  • One-to-Many Relationships
  • Many-to-Many Relationships

Power Query

Overview
  • Introduction
  • Loading & Refresh
  • Combine data from multiple data sources
Data Transformation
  • Editing Queries Created with Power Query
  • Editing Column Headers in Power Query
  • Splitting Column Data with Power Query
  • Sorting Data
  • Multi-Level Sorting
  • Filtering Data
  • Aggregate data from a column
  • Insert a custom column into a table
  • Merge columns
  • Remove columns
  • Remove rows with errors
  • Promote a row to column headers
  • Transforming Text Values
  • Replacing Data
  • Using the Fill command
  • Pivot and Unpivot Column
  • Transpose Query Data
  • Pivot Column Command in Action
  • Unpivot Columns Command
  • Grouping Data
  • Create a Duplicate Query
  • Group and Summarize Data
  • Advanced Data Grouping
  • Working with multiple sources in Power Query
  • Multiple Excel Tables
  • Expand a column containing an associated table
  • Understanding Table Relationships
  • Merging Queries
Loading Power Query Data to Destinations
  • Familiarity with the Load & Refresh Settings
  • Loading it to Workbook
  • Loading it to Data Model

Power Pivot

Introduction to PowerPivot
  • Limitation of Excel Functions
  • Limitation of Excel PivotTable
  • Why PowerPivot?
  • PowerPivot Features - Overview
PowerPivot Environment
  • Opening PowerPivot Environment
  • Understanding External Data Section
  • Understanding Formatting
  • PowerPivot Views
  • Understanding Measures
Taking Data into PowerPivot
  • From Excel
  • From MS Access
  • From MS-SQL
  • From Custom Query
  • From Text Files
  • From Other Sources
Calculated Columns
  • Calculated Columns
  • Entering Formulas
  • Using AutoComplete Feature
  • Renaming Columns
  • Understanding Tables
Creating Measures
  • Creating Simple DAX Measures
  • Explicit Measure Vs Implicit Measure
  • Referencing Measures in Other Measures
  • Formatting Measures
Manage Data Relationships Working with Multiple Tables Disconnected Tables Creating custom calendars using ADVANCED FILTER() Advanced calculated columns
  • Understanding Relationship Concept
  • JOIN TABLES
  • LEFT JOIN TABLES
  • RIGHT JOIN TABLES
  • Using UNION QUERIES
Data visualization Using
  • Power View
  • Charts, Score Cards and Dashboards
  • Slicers
  • Map Visualizations
  • Data Binding and Formatting
Creating Advanced Dashboards with PowerPivot

AI-Powered BI with Microsoft Copilot

AI-Powered BI with Microsoft Copilot
  • Introduction to Copilot in Power BI
  • Generating DAX measures using natural language prompts
  • Building report pages with Copilot (conversational report creation)
  • AI-generated narrative summaries for dashboards
  • Preparing your semantic model for Copilot (data prep for AI)
  • Smart Narratives and Q&A visuals
  • Copilot licensing and organizational requirements

Supercharging BI with Claude AI

Supercharging BI with Claude AI
  • Claude for data analysis: uploading, cleaning, and exploring datasets
  • Writing and debugging DAX with Claude
  • Generating SQL queries from natural language using Claude
  • Interpreting analytical results and statistical outputs with Claude
  • Creating executive-ready data narratives and summaries
  • Claude vs. Copilot: when to use which tool
  • Building an AI-augmented BI workflow (bringing it all together)

Optional Fabric Track: SQL + Microsoft Fabric Sessions 11–16 · same cohort

SQL Querying

Introduction to MS-SQL
  • Creating a Database
  • Understanding Tables and Creating Tables
  • Inserting, Updating and Deleting Data
  • Querying Data
  • Filtering Data
  • Grouping Data
  • Ordering Data
  • Column Aliases
  • Table Aliases
DDL INSIGHTS
  • CREATE TABLE
  • Dropping Objects
  • CREATE INDEX
  • TEMPORARY OBJECTS
  • Object Naming and Dependencies
SELECT STATEMENTS
  • Simple SELECTs
  • Calculated and Derived Fields
  • SELECT TOP / BOTTOM Records
  • Derived Tables
  • Joins
  • Predicates
  • Subqueries
  • Aggregate Functions
  • GROUP BY and HAVING
  • UNION
  • ORDER BY

SQL Programming

DDL INSIGHTS
  • CREATE TABLE
  • Dropping Objects
  • TEMPORARY OBJECTS
  • Object Naming and Dependencies
INTRODUCTION TO SQL PROGRAMMING (T-SQL)
  • What is T-SQL?
  • Differences between SQL Querying and SQL Programming
  • Benefits of procedural SQL
  • Use cases in reporting, automation, and ETL
VARIABLES AND CONTROL STRUCTURES
  • Declaring and Using Variables (DECLARE, SET)
  • Conditional Logic: IF…ELSE
  • Loops: WHILE, BREAK, CONTINUE
  • Error Handling: TRY…CATCH, THROW
  • GOTO statement (rare but useful for certain scenarios)
USER-DEFINED FUNCTIONS (UDFs)
  • Scalar-Valued Functions
  • Table-Valued Functions (Inline and Multi-statement)
  • Best practices for performance
  • Use in SELECT, WHERE, JOIN clauses
STORED PROCEDURES
  • Creating and Executing Stored Procedures
  • Input Parameters, Output Parameters
  • Reusability and Modularity
  • Nested Stored Procedures
  • Use in ETL and Reporting pipelines
TEMPORARY AND TABLE VARIABLES
  • Temporary Tables (#Temp, ##GlobalTemp)
  • Table Variables (DECLARE @TableVar TABLE)
  • Differences, Use Cases, and Scope
  • CTEs (Common Table Expressions)
CURSORS
  • Introduction to Cursors
  • Declaring and Using Cursors
  • Static vs Dynamic Cursors
  • Use Cases and Performance Considerations
DYNAMIC SQL
  • Constructing SQL Statements on the Fly
  • Executing with EXEC() and sp_executesql
TRANSACTIONS AND ERROR HANDLING
  • Introduction to Transactions
  • BEGIN TRAN, COMMIT, ROLLBACK
  • Nesting Transactions
  • Isolation Levels
  • Locking and Blocking
TRIGGERS
  • AFTER INSERT, AFTER UPDATE, AFTER DELETE
  • INSTEAD OF Triggers
  • Auditing Changes
  • Performance considerations
TESTING AND DEBUGGING
  • PRINT Statements
  • RAISERROR for debugging
  • SQL Server Profiler / Extended Events (if applicable)
  • Debugging in SQL Server Management Studio (SSMS)

Microsoft Fabric and Power BI Ecosystem

  • Introduction to Microsoft Fabric architecture and vision
  • Understanding the unified platform concept of Fabric
  • Overview of Fabric modules: Lakehouse, Warehouse, Real-Time Analytics, Data Activator, Data Science
  • Exploring OneLake as the single data lake for all workloads
  • Introduction to DirectLake and how it changes Power BI performance
  • Power BI's deep integration into the Fabric platform
  • Comparison of Fabric with legacy tools (Synapse, Dataflows, Data Factory)
  • Navigating Fabric workspaces, domains, and permissions
  • Understanding Fabric's role in end-to-end data lifecycle
  • Licensing structure and Fabric capacities
  • Fabric as an evolution of Azure Synapse and Power BI Premium
  • Cross-module data sharing within Fabric
  • Use of Notebooks and Spark runtime for data professionals
  • Understanding Fabric in the context of business intelligence
  • Connecting Power BI Desktop to Fabric datasets and models

Microsoft Fabric: Data Modeling with Fabric Lakehouse

  • Introduction to Lakehouse and its architecture
  • Differences between Lakehouse and traditional data lakes
  • Creating Lakehouse objects: managed vs unmanaged tables
  • Loading data using Dataflows Gen2 into Lakehouse
  • Delta Lake format and its benefits for performance and reliability
  • Schema management and table partitioning
  • Working with notebooks in Lakehouse for transformations
  • Using Spark to process and refine raw data
  • Connecting Power BI to Lakehouse via DirectLake
  • Creating semantic models from Lakehouse tables
  • Best practices for folder structures and naming conventions
  • Lakehouse security and access control in Fabric
  • Performance optimization for large data models in Lakehouse
  • Versioning and auditability in Lakehouse data
  • Integrating Lakehouse data into Power BI dashboards

Microsoft Fabric: Data Modeling with Fabric Data Warehouse

  • Introduction to the Fabric Data Warehouse module
  • Understanding structured modeling vs Lakehouse
  • Creating Warehouse tables, views, stored procedures
  • Building star schemas and dimensional models
  • Data ingestion into Warehouse using pipelines or Dataflows
  • Best practices for table relationships and indexing
  • Optimizing DAX performance on Warehouse models
  • Creating and querying views for report consumption
  • Understanding DirectQuery vs DirectLake vs Import modes
  • Connecting Power BI to Fabric Data Warehouse
  • Warehouse data governance and role-based access control
  • Integrating Warehouse and Lakehouse models in one dataset
  • Use cases for Warehouse vs Lakehouse
  • Monitoring and auditing Warehouse usage
  • Data lineage and impact analysis within Fabric Warehouse

Microsoft Fabric: Developing Reports and Dashboards Fabrics

  • Connecting Power BI to Lakehouse and Warehouse datasets
  • Building semantic models with measures, columns, hierarchies
  • Designing star schema datasets for optimal performance
  • Creating dynamic visuals: charts, tables, KPI cards
  • Using bookmarks, slicers, drillthrough, and tooltips
  • Creating interactive navigation experiences in Power BI
  • Implementing row-level and object-level security
  • Formatting reports with branding and design standards
  • Designing mobile-friendly Power BI dashboards
  • Embedding reports in web apps or Teams environments
  • Performance tuning with Aggregations and Composite Models
  • Publishing, sharing, and certifying reports within Fabric workspaces

Power BI System Requirements

  1. Required Software (Free Downloads):

    • Power BI Desktop: Download here

    • Microsoft Excel (2016 or later) (Required for Power Query & Power Pivot features)

    • Zoom: Download here (Training sessions are conducted live via Zoom)

  2. Required Specifications:

    • High-Speed Internet: A stable and fast connection is required for a smooth learning experience, software downloads, and data connections.

  3. Recommended Specifications:

    • Operating System: Windows 10 (Professional, Enterprise, or Education) or Windows 11 (Power BI Desktop is not supported on Windows 10 Home or macOS)

    • Processor: Intel Core i5 / AMD Ryzen 5 or higher (Core i3/Ryzen 3 minimum)

    • RAM: 16 GB or more (8 GB minimum, but higher is recommended for large datasets)

    • Secondary Monitor: Useful for multitasking across reports and datasets

  4. For Mac Users:

    Power BI Desktop is not available for macOS. To run Power BI on a Mac, you can use:

    • Windows via Boot Camp (Requires partitioning your Mac's storage)

    • Virtual Machines (e.g., Parallels, VMware, or VirtualBox with a licensed Windows OS)

  5. Secondary Monitor (optional, but recommended)

    Having a secondary monitor will greatly assist in following the pace of the trainer. It allows you to view instructions and your own workspace simultaneously, enhancing your learning experience.

Carry straight on after session 10 with the same trainer and classmates. Learn SQL and Microsoft Fabric — where Power BI's data is stored, prepared and shared across your organization.

Advanced power bi courses – now available.

Take Power BI to the Next Level

Same cohort, starts Nov 9

Fabric Track: SQL + Microsoft Fabric

Finish Power BI, then carry on for 4 more sessions into SQL and Fabric — the data layer underneath your reports.

View Details ➝

Includes Power BI training

Power Apps & Power Automate

Learn Power BI alongside app building & workflow automation — one course, broader skills

View Details ➝

Includes Power BI training

Microsoft Power Platform & AI

Power BI + Power Apps + Power Automate + Copilot Studio — the complete Microsoft cloud stack

View Details ➝
About the trainres

Taught by Microsoft-Certified Power BI Trainers

All our classes are live,
hands-on and with
real-trainers.

About the trainres

Build Real-World Power BI Dashboards.

Real-time Projects (Practical Application)

This Power BI course includes 12-14 hands-on projects, focusing on creating interactive dashboards, transforming data with Power Query, and writing DAX formulas. Gain real-world experience in data analytics and reporting automation. Here are the top 6 dashboards you'll work on:

Inventory & Supply Chain

Track stock levels, order fulfilment and supplier performance. Spot shortages and late deliveries before they hit.

Financial Health Dashboard

Bring revenue, expenses and cash flow together with budget vs. actual. Give leadership the numbers without the scramble.

Customer Support Dashboard

Follow ticket status, response times and customer satisfaction. See where service slows down and what to fix first.

Sales Performance Dashboard

Measure revenue by region, rep and product against targets. Know who is on track and what is selling, every day.

Project Management Dashboard

Track timelines, budgets and milestones across every project. Catch delays and overspend early, before they cost you.

Marketing Campaign Dashboard

Compare conversions, impressions and ROI across campaigns. See which ones actually pay off and where to spend next.

Track stock levels, order fulfilment and supplier performance. Spot shortages and late deliveries before they hit.

Bring revenue, expenses and cash flow together with budget vs. actual. Give leadership the numbers without the scramble.

Follow ticket status, response times and customer satisfaction. See where service slows down and what to fix first.

Measure revenue by region, rep and product against targets. Know who is on track and what is selling, every day.

Track timelines, budgets and milestones across every project. Catch delays and overspend early, before they cost you.

Compare conversions, impressions and ROI across campaigns. See which ones actually pay off and where to spend next.

Power BI Specialist Certification

Certification:
Power BI Associate – Data Analysis & AI-Augmented Reporting

A piece of paper means nothing if you can’t apply the skills. Our certifications are industry-recognized and backed by hands-on training—ensuring you’re not just qualified, but ready to perform from day one.

Eligibility:

On clearing post-training assessment.

View Sample Certificate

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Add to your LinkedIn profile

Excelgoodies

Level : ASSOCIATE

Certificate Code : EG-ASC-003

Eligibility:

On clearing post-training assessment.

Shareable certificate

Add to your LinkedIn profile

Power BI Training Schedule

Limited Seats. Registration Closing Soon

Have Questions?

Tel:

+1 236 900 6300

Email:

support@excelgoodies.com

Projects & Assignments

What's included?

  • 18 hours of live, instructor-led sessions
  • 14 Power BI + DAX projects
  • 6 Power Query projects
  • 3 Power Pivot models
  • 2 AI-powered BI sessions (Copilot + Claude)
  • 30-day post-training email support
  • BI Reporting Specialist Certificate

Upcoming Cohort

Starts On

Time

Course Fee

Individual

1 seat

$999

Team of 3

Save 597

$2,400

$2,997

Adding the Fabric track? Choose it at checkout.

Power BI Training FAQs

Yes! The course starts from the fundamentals and progressively covers advanced reporting, making it ideal for both beginners and experienced professionals.

If you miss a session, we provide class notes and exercises to help you catch up. You can also attend the same session in a future batch (subject to availability).

We accept credit/debit cards, wire transfers, and corporate invoices for employer-sponsored payments.

Choose it if your company already uses Microsoft Fabric or is moving to it, or if your reports have outgrown single files and shared drives. Over 40,000 organizations now pay for Fabric, up more than 60% in a year, and Power BI is part of it.

It's a good fit if you:

  • hear "Fabric", "OneLake" or "lakehouse" in meetings and want to keep up
  • want Copilot in Power BI at work, since it runs on Fabric capacity
  • work in healthcare, where Epic, a widely used hospital records system, is moving its analytics onto Fabric
  • want to build the data pipelines behind your reports, not just the reports

You'll understand where your data comes from and how it's prepared and shared, and you'll be able to work alongside your IT and data teams instead of waiting on them. If your organization is heading that way, you can add the SQL + Fabric track at checkout and carry straight on with the same trainer and classmates.

Choose it if your data lives in company databases rather than spreadsheets, or if you're aiming for an analyst or reporting role. About 3 in 4 job listings that ask for Power BI also ask for SQL, so employers increasingly expect both.

It's a good fit if you:

  • wait on IT every time you need a new data extract
  • find your numbers don't match between the database and your reports
  • are moving from a finance, operations or business role into an analyst role
  • work with large datasets that slow Excel down

With SQL, you pull exactly the data you need yourself, check figures at the source and build reports that refresh without manual exports. If that sounds like your day, you can add the SQL + Fabric track at checkout and continue with the same cohort after the Power BI sessions.

No! We start from scratch and progressively cover advanced concepts, making it beginner-friendly. However, basic Excel skills are recommended.

  1. Required Software (Free Downloads):

    • Power BI Desktop: Download here

    • Microsoft Excel (2016 or later) (Required for Power Query & Power Pivot features)

  2. Required Specifications:

    • High-Speed Internet: A stable and fast connection is required for a smooth learning experience, software downloads, and data connections.

  3. Recommended Specifications:

    • Operating System: Windows 10 (Professional, Enterprise, or Education) or Windows 11 (Power BI Desktop is not supported on Windows 10 Home or macOS)

    • Processor: Intel Core i5 / AMD Ryzen 5 or higher (Core i3/Ryzen 3 minimum)

    • RAM: 16 GB or more (8 GB minimum, but higher is recommended for large datasets)

    • Secondary Monitor: Useful for multitasking across reports and datasets

  4. For Mac Users:

    Power BI Desktop is not available for macOS. To run Power BI on a Mac, you can use:

    • Windows via Boot Camp (Requires partitioning your Mac's storage)

    • Virtual Machines (e.g., Parallels, VMware, or VirtualBox with a licensed Windows OS)

  5. Secondary Monitor (optional, but recommended)

    Having a secondary monitor will greatly assist in following the pace of the trainer. It allows you to view instructions and your own workspace simultaneously, enhancing your learning experience.

No, we use Power BI Desktop (free version) for training. However, if you want to publish reports to Power BI Service, a Pro or Premium license may be required.

Yes! We provide corporate invoices for employer-sponsored payments. You can either use a company card or request an invoice for your finance team.

Yes! We offer discounts for teams of 10 or more enrolling together. We also provide customized corporate training options. Contact us for details

Yes! Upon successfully completing the course and passing the final assessment, you will receive a Power BI Associate – Data Analysis & Dashboards Certificate.

Yes! You will learn DAX for advanced calculations and Power Query for data transformation, helping you build scalable and efficient reports.

This is a live, instructor-led course with hands-on exercises, real-world case studies, and interactive Q&A discussions.

You can retake sessions from a future batch (subject to availability), but full course re-enrollment may require an additional fee.

Our course also includes sessions on AI tools (Copilot and Claude), which most pre-recorded tutorials on Udemy or Coursera either don’t cover or cover in isolation without the Power BI foundations needed to use them effectively.

$699 for ExcelGoodies' 2-week live, instructor-led Power BI course — which includes 20 hours of training, 14 hands-on projects, Power Query and DAX modules, and a Power BI Associate Certificate. Across the industry, Power BI training typically ranges from $200 for self-paced video courses to $2,000+ for in-person bootcamps. The key difference is format: self-paced courses are cheaper but lack live interaction, while instructor-led programs like ours offer real-time Q&A, personalized troubleshooting, and hands-on project reviews. Corporate teams of 10+ are eligible for additional group discounts.

Our AI sessions (Sessions 9–10) also help you accelerate your learning curve post-course, since tools like Claude can help you troubleshoot issues and explain concepts as you practice on your own.

Yes — Power BI is consistently ranked the #1 business intelligence platform by Gartner, and trained Power BI professionals in the US earn between $75,000 and $120,000 depending on role and experience. The return on investment is significant: a $699 training course can lead to higher-paying roles like BI Analyst, Data Analyst, or Power BI Developer, where Power BI skills are listed as a top requirement. Beyond salary, professionals who know Power BI save their teams 5–10 hours per week by automating manual Excel-based reporting. Over 35,000 professionals have trained with ExcelGoodies, and many report career transitions into data-focused roles within months of completing the course.

Additionally, our course now includes dedicated sessions on AI tools (Copilot and Claude AI), giving you skills that most Power BI professionals don’t yet have — a meaningful differentiator on your resume and in job interviews.

The best Power BI course depends on your learning style, but for professionals who want live, expert-led training with hands-on projects, ExcelGoodies is a top choice — trusted by 35,000+ professionals and 300+ companies including government entities like the IRS and The World Bank. What sets it apart: the course is taught by Microsoft Certified Trainers (MCTs) with 14+ years of industry experience, covers Power BI, DAX, Power Query, and Power Pivot in just 2 weeks, includes 14 real-world dashboard projects, and includes 2 dedicated AI sessions covering Microsoft Copilot and Claude AI — something most competing courses don’t offer.

Yes, absolutely — Power BI is designed as a no-code/low-code tool, and no programming background is needed to start. ExcelGoodies' course begins from the fundamentals and is specifically built for non-technical professionals in finance, operations, HR, marketing, and management. You will learn DAX formulas (which are similar to Excel formulas, not traditional coding) and Power Query transformations (which use a drag-and-drop interface). The only prerequisite is basic familiarity with Excel — if you can write a VLOOKUP or create a PivotTable, you have everything you need to succeed in this course.

For most business professionals, Power BI is the better choice — it integrates natively with Excel, Microsoft 365, and Azure, costs significantly less (Power BI Pro is $10/user/month vs Tableau Creator at $75/user/month), and is the #1 ranked BI platform in Gartner's Magic Quadrant for the fourteenth consecutive year. Tableau is strong in advanced data visualization and is preferred in some data science and research environments, but Power BI dominates in enterprise adoption — over 97% of Fortune 500 companies use Microsoft tools. If your organization already uses Excel, SharePoint, or Teams, learning Power BI gives you immediate practical value because it connects seamlessly to your existing data. ExcelGoodies' Power BI training covers all the skills needed to become proficient, regardless of whether you've used Tableau before.

Yes. Sessions 9 and 10 are dedicated to AI-powered BI. You’ll learn Microsoft Copilot for natural language report building inside Power BI, plus Claude AI for data analysis, DAX generation, and executive reporting outside Power BI. But here’s what makes our approach different: we teach AI after you’ve built the foundational skills (Sessions 1–8). This way, when AI gives you an output, you’ll know whether it’s correct, how to fix it if it’s not, and when it’s better to do the work yourself.

Absolutely — and this is the most important question to get right. AI tools like Copilot can generate DAX formulas from plain English, but they make mistakes. They get evaluation contexts wrong. They misinterpret relationships. They produce formulas that look correct but return wrong numbers. If you don’t understand DAX yourself, you’ll accept wrong answers without realizing it. Our course teaches you DAX thoroughly (Sessions 5–7) so that when you use AI to speed up DAX writing (Session 9–10), you have the expertise to validate, refine, and trust the output. AI makes fast work faster — but only if you know what “correct” looks like.

Claude AI (by Anthropic) is a general-purpose AI assistant that excels at data analysis, code generation, and turning complex data into plain-English narratives. We include it because Copilot only works inside Power BI — but real-world BI work involves tasks outside Power BI too: cleaning messy source data, writing SQL queries, debugging formulas, interpreting statistical results, and preparing executive summaries. Claude handles all of that. Together, Copilot (inside Power BI) and Claude (outside Power BI) give you a complete AI-augmented workflow. Session 10 teaches you when to use which tool — and when to rely on your own expertise instead.

No. We demonstrate Copilot features live during Session 9. For hands-on practice with Copilot in your own Power BI environment, you’d need a Fabric capacity (F64+) or Premium Per User license, but this is not required for the course. Claude AI is accessible via a free tier, so you can follow along with Session 10 on your own device.

More questions ?

Master In-Demand Power BI & Data Analytics Skills

Key Skills You'll Master

Interactive Dashboards & Visualization

Data Transformation

Data Modeling & Relationships

Advanced DAX Calculations

Multi-Source Data Integration

Automated Reporting & Refresh

Performance Optimization

Role-Based Security & Access Control

AI-Powered Report Building (Copilot)

AI-Assisted Data Analysis & Storytelling (Claude)

skills to master

About The Trainer

Mr. Sami

MCT, MCP, MEE, MOS

30,000+

Students Trained

18+

Year of Experience

4.9

Reviews

Mr. Sami is an exceptionally accomplished and certified Microsoft Trainer, possessing extensive expertise in the fields of Finance, HR, and Information Technology. With an impressive 18-year tenure in the industry, he has successfully trained and empowered over 30,000 professionals, and the number continues to grow.

He has undertaken assignments with the renowned IRS, The World Bank, Tata Chemicals, Buckman Laboratories, Standard Chartered, ING Barings and much more. His nature of going that Extra Mile has got him the startling popularity amongst the Excelgoodies prominent clients.

Government Institutions We've Worked With.

Trusted by Government Entities

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Build Real-World Solutions During the Course

Eg difference The Excelgoodies Difference

We Spot Trends Before They Become Industry Standards

The analytics industry moves fast. We move faster. While other courses are still debating whether to add AI, we’ve already integrated Copilot and Claude AI into our training — because we believe you should learn what’s next, not just what’s now. But we do it the right way: AI after foundations, not instead of them.

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Learn What Matters, Not Just What’s Trending

Everyone’s talking about AI. But AI without expertise is just guesswork with a better interface. Our course teaches you Power BI deeply first, then shows you how to use AI (Copilot + Claude) as a professional tool — not a shortcut. You’ll know which tasks to delegate to AI, which to do yourself, and how to verify everything in between.

Tech-Enabled Learning,
Zero Hassles

Forget scattered emails and outdated PDFs. Our AI-powered student portal keeps everything in one place—live classes, assignments, progress tracking, instructor feedback, invoices, and instant support—so you stay focused on learning.

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Real Projects, Real Experience, Real Confidence

No more theory-only learning—you’ll walk out of our courses with proven expertise in the tools and techniques hiring managers want.

Corporate Power BI Training

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Avail additional 10% Corporate Benefit on the total course fee for 10+participants.

Get your team BI-ready and AI-ready —
in the same course.

Ethan Davis

Business Associate

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Thousands Trained. Here’s What They Say.

Total Reviews 2147
Average Rating
4.5
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