Why Gorras Dandy Hats Are More Than Just Caps in Streetwear Fashion
February 11, 2026FoodRGB Spotlights Natural Food Coloring Trends with Beta Carotene and Curcumin Solutions
February 11, 2026Excel still runs budgeting, forecasting, and reporting across U.S. teams in 2026, even as AI speeds up routine work.If you can clean messy sheets, build reliable models, and present insights clearly, you become the person leaders rely on.
This list focuses on courses that teach practical analysis, repeatable workflows, and portfolio-ready outputs that translate directly to analyst, finance, and operations roles.
Factors to Consider Before Choosing an Excel Course
- Role target matters: analyst, finance, operations, or reporting lead each needs different depth in formulas, modeling, storytelling, governance, and teams.
- Skill level decides pace: beginners need basics and shortcuts, while advanced users need Power Query, PivotTables, logic, and rigor daily.
- Practice format matters: choose datasets, exercises, and projects that mirror your job so you reuse templates, checks, and dashboards immediately.
- Tool coverage must match work: functions, PivotTables, charts, Power Query, and automation should connect to reporting workflows end to end.
- Time commitment must be realistic: pick a weekly schedule you can sustain so you finish, publish work, get feedback, and improve.
Top Excel Courses to Launch Your Career in 2026
1) Master Data Analytics in Excel— Great Learning Academy Pro+
Duration: 5 hours
Mode: Self-paced
Short overview: An Excel program centered on data cleaning, PivotTables, advanced formulas, and business analytics, with excel basics for data analysis covered throughout.
You complete two guided projects that mirror reporting work, including preparing datasets, building analysis tables, and presenting insights with charts.
The course emphasizes repeatable workflows so your spreadsheets stay accurate, auditable, and easy to update over time.
Key highlights
- Certificate from Great Learning on completion and access to 20 plus latest courses with Academy Pro.
- GL Coach provides instant doubt clarification, curated materials, AI-assisted mock interviews, and a smart resume builder that puts your new data science competencies in the spotlight for recruiters.
- Guided projects are built into the course: 2 projects focused on real reporting workflows using data cleaning, PivotTables, and visualization.
- Skill coverage includes formulas and functions, data cleaning, conditional and lookup functions, validation, formatting, text and date-timeand date-time functions.
Learning outcomes
- Clean and structure datasets for analysis
- Build PivotTables and measures that support business questions
- Produce charts and summaries that stakeholders can act on
2) Excel Training Modules by Microsoft Learn
Duration: Self-paced
Mode: Online
Short overview: Microsoft Learn offers modular Excel training that builds from worksheet basics to analysis features used in business reporting.
Lessons cover formulas, tables, charts, and data handling, with step-by-step practice you can apply immediately.
It works well for beginners who want a structured path tied to Microsoft 365 workflows.
Key highlights
- Official guidance aligned with Microsoft 365 features
- Clear step-by-step modules for practical workflows
- Easy to revisit specific topics when you hit problems at work
Learning outcomes
- Build cleaner spreadsheets with a consistent structure
- Apply formulas and tables for everyday reporting
- Create charts that communicate trends clearly
3) Excel Fundamentals Track by DataCamp
Duration: About 16 hours
Mode: Self-paced
Short overview: DataCamp’s Excel Fundamentals track teaches core spreadsheet skills through interactive exercises and short lessons.
You practice formulas, cleaning, PivotTables, and visualizations with instant feedback, then reinforce concepts through structured practice.
The track is designed for steady progress and is suited to analysts who want consistent, measurable weekly practice time without long lectures.
Key highlights
- Interactive exercises with instant feedback
- Coverage across formulas, data prep, and visualization
- Track format supports steady progression and assessment
Learning outcomes
- Improve speed with repeatable Excel patterns
- Use PivotTables for quick analysis
- Build cleaner visuals for reporting updates
4) Excel Essential Training by LinkedIn Learning
Duration: 2 hours 56 minutes
Mode: Online
Short overview: LinkedIn Learning’s Excel Essential Training provides a clear, video-led walkthrough of everyday Excel work.
With exercise files, you practice entering data, writing formulas, using tables, and creating charts.
The pacing suits busy professionals who want a guided start, a completion certificate, and a foundation before tackling advanced analysis tasks.
Key highlights
- Strong beginner pacing with hands-on files
- Practical focus on daily workplace tasks
- Completion certificate is useful for LinkedIn profile credibility
Learning outcomes
- Build confidence in formulas and tables.
- Produce charts suitable for status updates.
- Work faster with cleaner spreadsheet habits.
5) Free Excel for Beginners —Great Learning Academy
Duration: 6.75 learning hours
Mode: Self-paced
Short overview: This beginner-friendly course covers the end-to-end Excel workflow, from sheets and cell referencing to formulas, sorting, filtering, and basic analysis functions.
As an excel course online free, it includes practical examples and quizzes to reinforce concepts.
You earn a certificate to share on LinkedIn, making it a first step before deeper data analytics and reporting practice.
Key highlights
- Certificate from Great Learning on completion and access to 20 plus latest courses with Academy Pro.
- GL Coach provides instant clarification of doubts, curated materials, AI-assisted mock interviews, and a smart resume builder that puts your new data science competencies in the spotlight for recruiters.
- The course outline covers cell referencing, tables and borders, basic formulas, sorting, filtering, date and time, and if-elseif-else logic.
- Includes quizzes to test understanding and reinforce fundamentals.
Learning outcomes
- Use formulas confidently for everyday work
- Sort and filter data for quick answers
- Earn a certificate and share it professionally
6) Excel from Beginner to Advanced by Udemy
Duration: About 22 hours
Mode: Self-paced
Short overview: This Udemy course takes learners from beginner basics to advanced Excel skills through long-form video lessons and practice files.
It covers core formulas, PivotTables, charts, and productivity features, helping you move faster in real reporting work. It is best for learners who want depth and plenty of guided repetition.
Key highlights
- Long-form coverage for deeper confidence
- Exercise files support repetition and skill retention
- Wide topic range for broad workplace needs
Learning outcomes
- Build stronger spreadsheets with fewer errors
- Use PivotTables and charts for reporting
- Improve speed through better workflow habits
7) Excel Specialist Path by Maven Analytics
Duration: Self-paced
Mode: Online
Short overview: Maven Analytics’ Excel Specialist path focuses on building expert-level skills for analysis and reporting.
It progresses through formulas, charts, PivotTables, and Power Query, then applies those tools to realistic reporting scenarios.
The format supports portfolio building through practical deliverables that clearly demonstrate both technical accuracy and business storytelling.
Key highlights
- Strong focus on analysis and reporting depth
- Emphasis on Power Query and modern workflows
- Portfolio-friendly deliverables for job interviews
Learning outcomes
- Design repeatable reporting workflows
- Apply Power Query for cleaner data prep
- Communicate insights with a clear reporting structure
Conclusion
Pick one course and protect a weekly study block. Build a clean model, then turn it into a report that answers a real business question.
If you are new, start with a free online course, then move to deeper, project-based training. Save every spreadsheet, add a short readme, and ask for feedback. That loop improves accuracy and speed, and gives hiring managers proof you can deliver analysis on deadlines.
