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New Productivity & Business

Excel Data Analysis Masterclass: PivotTables, Power Query & Business Analytics

Taught by Dan Branscome

Master Excel data analysis using PivotTables, Power Query, Power Pivot, dynamic arrays, and real-world business projects.

Level:
All Levels
Length:
27 hrs
Lectures:
45

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What you'll learn

  • Organize datasets for effective analysis
  • Structure tables using best practices
  • Prepare and clean messy data
  • Build powerful PivotTables
  • Analyze large datasets efficiently
  • Import and transform data using Power Query
  • Build data models using Power Pivot
  • Use Dynamic Array formulas effectively
  • Perform predictive analysis in Excel
  • Compare multiple analytical approaches
  • Solve real-world business problems
  • Build repeatable data analysis workflows
  • Improve reporting speed and accuracy

Included with all-access

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27
Hours of content
45
Video lectures
All access
every course included
All Levels
Skill level

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About The Course

Learn how to analyze, clean, organize, and transform data using Microsoft's most powerful analytical tools.

Data is everywhere, but knowing how to turn raw information into meaningful insights is what separates spreadsheet users from true data analysts. Whether you're working in finance, operations, marketing, HR, sales, or business intelligence, Excel remains one of the world's most widely used tools for data analysis.

Excel Data Analysis Masterclass: PivotTables, Power Query & Business Analytics

Curriculum

54 modules · 27 hours of content

  1. 1 COURSE CONTENT: Introduction
  2. 2 Welcome to Data Analysis
  3. 3 Introduction to the course
  4. 4 Instructor’s Introduction
  5. 5 Reviewing the Basics
  6. 6 Table Organization
  7. 7 Primary Keys
  8. 8 Conditioning Data

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