🎓 Course [UDEMY] The Complete Excel Pivot Table: Data Analysis and Reporting

The Complete Excel Pivot Table: Data Analysis and Reporting

Description​

Pivot Tables are one of the most powerful tools in Microsoft Excel for analyzing, summarizing, and reporting data. Yet many professionals only use a fraction of their potential. This course is designed to give you a complete, hands on mastery of Pivot Tables, helping you transform raw data into clear, actionable insights.
Whether you’re a beginner just learning Excel or an experienced user looking to sharpen your data analysis skills, this course will guide you step by step through building dynamic Pivot Tables and professional reports used in business, finance, marketing, and beyond.
What You Will Learn:
What is Data Analysis?
Overview of Excel as a Data Analysis Tool
Key Excel Features for Analysts
What Is a Pivot Table and Why Use It?
Creating Your First Pivot Table (Step-by-Step)
Understanding Pivot Table Interface: Rows, Columns, Values, Filters
Best Practices for Structuring Raw Data
Cleaning Data Using Excel Tools
Removing Duplicates and Handling Blanks
Using Tables as Dynamic Pivot Data Sources
Formatting Data for Analysis
Sorting and Filtering Pivot Data
Grouping Data by Dates, Numbers, or Text
Value Summarization: Sum, Count, Average, etc.
Using the Field List and Pivot Table Settings
Adding and Using Calculated Fields
Creating Custom Calculations with % of Total, Difference, Running Total
Using Show Values As for Advanced Comparisons
Managing Grand Totals and Subtotals
Introduction to Pivot Charts
Creating Interactive Dashboards with Slicers and Timelines
Linking Pivot Tables to Charts
Formatting and Customizing Charts for Reports
Using Multiple Pivot Tables from the Same Data Source
Connecting Slicers Across Multiple Tables
Consolidating Multiple Data Ranges
Drill-Down and Exploring Underlying Data
Sales Analysis Dashboard
Financial Reporting with Pivot Tables
Why This Course?
Learn by working directly with real datasets
From basics to advanced techniques in Pivot Tables
Skills used by analysts, managers, and consultants worldwide
No prior experience with Pivot Tables required
By the end of this course, you will be able to use Pivot Tables to analyze complex datasets, build interactive reports, and make data driven decisions with confidence.
  • What is Data Analysis?
  • Overview of Excel as a Data Analysis Tool
  • Key Excel Features for Analysts
  • What Is a Pivot Table and Why Use It?
  • Creating Your First Pivot Table (Step-by-Step)
  • Understanding Pivot Table Interface: Rows, Columns, Values, Filters
  • Best Practices for Structuring Raw Data
  • Cleaning Data Using Excel Tools
  • Removing Duplicates and Handling Blanks
  • Using Tables as Dynamic Pivot Data Sources
  • Formatting Data for Analysis
  • Sorting and Filtering Pivot Data
  • Grouping Data by Dates, Numbers, or Text
  • Value Summarization: Sum, Count, Average, etc.
  • Using the Field List and Pivot Table Settings
  • Adding and Using Calculated Fields
  • Creating Custom Calculations with % of Total, Difference, Running Total
  • Using Show Values As for Advanced Comparisons
  • Managing Grand Totals and Subtotals
  • Introduction to Pivot Charts
  • Creating Interactive Dashboards with Slicers and Timelines
  • Linking Pivot Tables to Charts
  • Formatting and Customizing Charts for Reports
  • Using Multiple Pivot Tables from the Same Data Source
  • Connecting Slicers Across Multiple Tables
  • Consolidating Multiple Data Ranges
  • Drill-Down and Exploring Underlying Data
  • Sales Analysis Dashboard
  • Financial Reporting with Pivot Tables
  • Learn by working directly with real datasets
  • From basics to advanced techniques in Pivot Tables
  • Skills used by analysts, managers, and consultants worldwide
  • No prior experience with Pivot Tables required

Who this course is for:​

  • Anyone who wants to quickly and effectively summarize, analyze, and present data
  • Students and job seekers preparing for data driven roles
  • Excel users who want to move beyond basic formulas into powerful data analysis
  • Professionals in finance, accounting, marketing, operations, or HR
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