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Excel Skills for Business: Advanced Analytics

4.6(26,000)·310K enrolled
Intermediate 18 hours English Completion Certificate Certificate

About this course

This course targets Excel users who already know the basics and want advanced analytical and modeling capabilities: complex formula writing (XLOOKUP, INDEX/MATCH, array formulas), advanced PivotTable techniques including calculated fields and grouping, Power Query for automated data transformation, Power Pivot and data modeling, VBA macro basics, and financial modeling templates for budgeting and forecasting.

Advanced Excel skills are consistently listed in financial analyst, business analyst, and operations analyst job descriptions — they're the dividing line between users who can perform analysis and users who can build analysis infrastructure that others use. For practitioners who already use Excel daily, upgrading from intermediate to advanced Excel skills is one of the highest-return skill investments in the business analytics domain.

What you'll learn

Write advanced Excel formulas including XLOOKUP, INDEX/MATCH, and dynamic arrays
Build advanced PivotTables with calculated fields and slicers
Automate data transformation with Power Query
Build data models with Power Pivot for multi-table analysis
Write basic VBA macros to automate repetitive Excel tasks

This course includes

18h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor

KP
Kyle Pew
Udemy instructor
310K+ learners8 courses4.6 instructor rating

Kyle Pew is a Microsoft Certified Excel instructor with over 300K Udemy students and courses recognized for practical, business-focused Excel instruction.

Requirements

  • Intermediate Excel skills (basic formulas, PivotTables, filters)

Who this course is for

  • Intermediate Excel users who want advanced formula and modeling skills
  • Business and financial analysts who build Excel models for reporting
  • Operations professionals who want to automate Excel data workflows

About this provider

UD
Udemy
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Frequently asked questions

Depends on your role — Excel is faster for business reporting and financial modeling; Python is better for large datasets and automation. Most analysts benefit from both.
Yes — including dynamic arrays, XLOOKUP, and other Microsoft 365 Excel features.
Paid
One-time purchase, sales ~$15
Enroll now