The Complete Excel Pivot Table: Data Analysis and Reporting
5 hours ago
Office Productivity
[100% OFF] The Complete Excel Pivot Table: Data Analysis and Reporting

A Step By Step Guide To Mastering Pivot Tables in Excel—Perfect For Data Analysts and Excel Users at Any Level.

0
0 students
2.5h total length
English
$0$49.99
100% OFF

Course 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

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

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.

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