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Excel Data Analysis for Professionals and Analysts

734 students
2h 39m
Updated Feb 2026

What you'll learn

What is Data Analysis?
Why Use Excel for Data Analysis?
Data Types and Formatting Essentials
Working with Tables and Named Ranges
Keyboard Shortcuts for Productivity
Identifying and Handling Missing Data
Data Validation and Drop-Down Lists
Conditional Formatting for Data Insights
Creating and Customizing Pivot Tables
Calculated Fields and Custom Summaries
Creating Dynamic Charts with Named Ranges

Course Description

In today’s fast paced, data driven world, the ability to analyze and interpret data is one of the most valuable skills you can have. Excel Data Analysis for Professionals and Analysts is designed to equip you with the Excel skills needed to organize, analyze and present data efficiently—whether for business, finance, marketing or research.


This course takes a hands-on, practical approach, focusing on real-world examples and exercises so you can apply your skills immediately. You’ll go beyond the basics, learning advanced formulas, PivotTables, charts, dashboards and other techniques that professionals and analysts use every day.


What you’ll learn

  • Organize and clean datasets efficiently for analysis

  • Use formulas and functions to perform calculations and automate tasks

  • Analyze data with PivotTables, PivotCharts and advanced Excel tools

  • Create professional reports and interactive dashboards

  • Apply data analysis techniques to real-world business scenarios

  • Improve accuracy, efficiency and decision making with data


Why take this course?

  • Step by step guidance from beginner to advanced techniques

  • Practical, hands-on exercises and real-world projects

  • Learn Excel skills that are immediately applicable in professional environments

  • Boost career growth by mastering data analysis and reporting


By the end of this course, you’ll be able to analyze complex datasets, create actionable reports and turn Excel into a powerful tool for your career or business.

Requirements

  • No experience needed. You'll learn everything from the beginning.

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Course Details

  • Level All Levels
  • Lectures 22
  • Duration 2h 39m