Udemy hosts thousands of Excel courses; only a handful are worth your time. The picks below cover the high-leverage areas — PivotTables, data modeling, Power Query, dashboards, Power BI, and the new Copilot workflow — and skip the generic “Excel basics for beginners” repackages. Each card shows what the course is best for, the strongest reasons to take it, the real trade-offs, and the current Udemy rating.
At a Glance
| # | Course | Best for | Rating |
|---|---|---|---|
| 1 | Excel Xtreme Pivot Tables | Mastering PivotTables end-to-end | 4.7 |
| 2 | Data Modelling in Excel Masterclass | Financial modelers and analysts | 4.6 |
| 3 | Excel Essentials Levels 1, 2 & 3 | Total beginners working toward VBA | 4.6 |
| 4 | Introduction to Excel Power Query | Cleaning and transforming messy data | 4.2 |
| 5 | Microsoft Excel Dashboards Pro | Building interactive dashboards | 4.5 |
| 6 | Data Visualization for Business Analysts | Presenting data to stakeholders | 4.5 |
| 7 | Excel Data Science with Power BI | Crossing from Excel into data science | 4.4 |
| 8 | Excel Charts: Create Stunning Charts | Custom chart techniques | 4.3 |
| 9 | Excel Building BI with Pivot Tables | Pivot-based BI reporting | 4.8 |
| 10 | Microsoft Copilot for Excel | AI-assisted Excel workflows | 4.3 |
The Courses
Excel Xtreme Pivot Tables
Best for: Mastering PivotTables end-to-end
The single most useful Excel skill for analysts, taught by MVPs who built BI systems on PivotTables for a living. Goes well beyond drag-and-drop into calculated fields, conditional formatting in pivot context, and using PivotTables as a reporting layer over modeled data.
Pros:
- Taught by Microsoft Excel MVPs with real BI experience
- Covers PivotTable behavior that the help docs gloss over (refresh quirks, calculated items, drill-down)
- Useful for both raw-data analysts and dashboard builders
Cons:
- Assumes you already know your way around Excel — not a starter course
- Some sections are dated where the 365 PivotTable UI has since changed
Rating: 4.7/5 on Udemy
Data Modelling in Excel Masterclass
Best for: Financial modelers and analysts
A deep course on building defensible, maintainable Excel models — the kind of work consultants, FP&A analysts, and accountants do daily. Emphasises layout discipline, formula auditability, and the planning steps that separate a real model from a “spreadsheet that happens to calculate things.”
Pros:
- Heavy focus on model structure, not just formulas
- Practical examples drawn from consulting and finance scenarios
- Pairs well with the Pivot Tables course above for analyst workflows
Cons:
- Best taken after you’re comfortable with INDEX/MATCH or XLOOKUP
- Light on Power Query and Power Pivot — this is a classic-Excel modelling course
Rating: 4.6/5 on Udemy
Excel Essentials: Levels 1, 2 & 3
Best for: Total beginners working toward VBA
The most cohesive beginner-to-intermediate progression on Udemy. Level 1 is true beginner; Level 3 ends with macros and VBA fundamentals, so a complete novice can finish the series with a working automation skill instead of stalling at “I can make a chart.”
Pros:
- Single-instructor consistency across all three levels
- Hands-on projects and downloadable practice files at each level
- Ends in VBA, which most beginner courses avoid
Cons:
- ~30+ hours total — needs commitment to finish the full arc
- Older screenshots in places (still teaches correctly, just looks dated)
Rating: 4.6/5 on Udemy
Introduction to Excel Power Query
Best for: Cleaning and transforming messy data
Power Query has quietly become the most important Excel feature of the last decade. This course gets you productive with it fast — connecting to sources, reshaping data, and replacing manual cleanup steps with refreshable queries.
Pros:
- Practical, repeatable workflows (merge, append, unpivot, parameterise)
- Teaches you to think in queries rather than one-off formulas
- Skills transfer directly to Power BI
Cons:
- “Introduction” really means introduction — won’t cover M-code or advanced custom functions
- Pair with the Data Modelling or Dashboards course if you want a full BI stack
Rating: 4.2/5 on Udemy
Microsoft Excel Dashboards Pro
Best for: Building interactive dashboards
Disclosure: this course is produced by Excel.TV. It teaches dashboarding the way Jordan Goldmeier writes about it in Dashboards for Excel — formulas-and-charts-first, not pivot-only — so the result is a fast, refreshable dashboard you can hand to a non-technical stakeholder.
Pros:
- Builds full dashboards from raw data, not just chart-by-chart demos
- Heavy use of dynamic ranges, form controls, and chart techniques you don’t get from PivotCharts
- No VBA required to follow along
Cons:
- Opinionated approach — if you prefer pivot-driven dashboards, see #9 instead
- Some prep needed in formulas (INDEX, OFFSET, IF) before lesson one
Rating: 4.5/5 on Udemy
Data Visualization with Advanced Excel Charts for Business Analysts
Best for: Presenting data to stakeholders
Less about Excel mechanics and more about chart choice and storytelling. Teaches when to use a bullet chart vs a bar chart, why 3-D charts mislead, and how to build progress meters and waffle charts that boardrooms actually understand.
Pros:
- Explains why a chart works, not just how to build it
- Covers non-default chart types (bullet, waffle, dot-plot, slope chart)
- Useful even if you do most of your reporting in Power BI
Cons:
- Limited coverage of dashboard layout — pair with #5 for a complete reporting workflow
- Assumes you can already build a basic chart in Excel
Rating: 4.5/5 on Udemy
Excel Data Science with Power BI
Best for: Crossing from Excel into data science
A bridge course for analysts who want to learn R and Power BI without leaving the Excel mental model behind. Useful if your team is migrating from Excel-based reporting toward a Power BI workflow and you don’t want to start from zero.
Pros:
- Covers Excel, R, and Power BI together — uncommon combination on Udemy
- Real-world data science framing (CRISP-DM, model evaluation), not toy examples
- Good on-ramp for an analyst who has never touched R
Cons:
- Longer and denser than the other courses on this list — plan for several weekends
- R has fallen behind Python for general data science; still useful for stats-heavy work
Rating: 4.4/5 on Udemy
Excel Charts: Create Stunning Charts in Excel
Best for: Custom chart techniques
A shorter, technique-focused course that complements #6 (which is more about choosing charts). This one shows you the dual-axis, broken-axis, in-cell, and combo-chart constructions that look impossible in Excel until someone demonstrates them.
Pros:
- Compact format — finish in a weekend
- Strong on hidden chart capabilities most users never discover
- Pairs naturally with the dashboards course (#5) or the data-viz course (#6)
Cons:
- Some advanced charts here are easier to build in Power BI or third-party tools
- Limited theory — assumes you already know when to use what chart
Rating: 4.3/5 on Udemy
Excel Building BI with Pivot Tables
Best for: Pivot-based BI reporting
The complement to #5 (Dashboards Pro). Where Dashboards Pro favours formulas and dynamic ranges, this course leans into Power Pivot and the data model — useful when your data lives across multiple tables and you don’t want to flatten it first.
Pros:
- Strong coverage of relationships, measures, and the Excel data model
- Highest Udemy rating on this list (4.8)
- Skills carry over directly to Power BI semantic modelling
Cons:
- Overlaps with Dashboards Pro (#5) — pick one based on workflow preference
- Some lessons assume Excel 2016+ data-model features
Rating: 4.8/5 on Udemy
Microsoft Copilot for Excel: AI-Powered Data Analysis
Best for: AI-assisted Excel workflows
The most current pick on this list. With Copilot now embedded in Excel 365, prompt-craft is becoming a real Excel skill — this course shows what Copilot does well, where it gets things wrong, and how to validate its output instead of trusting it blindly.
Pros:
- Genuinely current — covers the 2025/2026 Copilot feature set
- Teaches prompt patterns specific to Excel (data ranges, formula generation, summarisation)
- Pairs Copilot with traditional skills rather than replacing them
Cons:
- Requires a Microsoft 365 Copilot subscription to follow along practically
- Newer course — expect more updates as Copilot evolves
Rating: 4.3/5 on Udemy
How to Pick a Udemy Course
Three signals matter when comparing two Excel courses with similar ratings.
Instructor track record. Look at the instructor’s full course history, not just one title. An instructor with 15+ Excel courses and an active Q&A presence is more likely to keep the curriculum updated than someone with a single one-off. MVP credentials and books are useful proxies for depth.
Curriculum specificity. A strong course description names the techniques it teaches (XLOOKUP, Power Query merge, calculated columns in DAX). A weak one says things like “everything you need to master Excel” without committing to specifics — that’s a sign the curriculum is shallow.
Recent updates. Udemy shows a “Last updated” date on every course. For anything touching Power Query, Power Pivot, dynamic arrays, or Copilot, you want a course updated within the last 12 months — Excel has moved a lot.
Frequently Asked Questions
Which course should a complete beginner start with?
Excel Essentials Levels 1, 2 & 3 is the best beginner pick on this list — it’s the only course here that starts from “what is a cell” and progresses all the way to VBA in a single coherent series.
Which course is best for someone already comfortable in Excel?
Excel Xtreme Pivot Tables for analysts, Data Modelling Masterclass for financial modelers, or Power Query if you spend a lot of time cleaning data — all three are high-leverage upgrades for an existing Excel user.
Does Microsoft Copilot make these courses obsolete?
No — and the Copilot course on this list is the clearest demonstration why. Copilot writes formulas, generates charts, and summarises data, but you still need to know what to ask for and how to validate the output. Strong Excel fundamentals make Copilot more useful, not less.
How long does an average Udemy Excel course take?
Most of these run 6–14 hours of video content; the Levels 1, 2 & 3 series is the longest at ~30 hours total. Add roughly equal time for hands-on practice if you actually want the skills to stick.
Are Udemy certificates worth anything on a resume?
Listed alongside a portfolio of work, they signal commitment to learning. They don’t carry the weight of a Microsoft certification (MOS, MO-201) but they’re useful when applying for analyst, FP&A, or operations roles where Excel is a stated requirement.
What about free Udemy courses?
Udemy’s free courses don’t grant a certificate of completion and are typically shorter than the paid catalogue. They’re a reasonable way to test an instructor’s teaching style before paying for their full course, but none of the high-quality Excel curricula on this list are available for free.
