Power Pivot in Excel for Data Analysis
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Power Pivot in Excel for Data Analysis
This course is part of Advanced Excel Tools for Data Analysis Specialization
Instructor: EDUCBA
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What you'll learn
Build Power Pivot data models using multiple data sources and relationships.
Create dynamic Pivot Tables, Pivot Charts, and interactive dashboards.
Analyze complex datasets to generate actionable business insights.
Skills you'll gain
Tools you'll learn
Details to know
May 2026
12 assignments
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There are 3 modules in this course
Master Power Pivot in Excel to analyze complex datasets, build data models, and create interactive dashboards for smarter business decisions. Learn how to transform raw data into dynamic reports and actionable insights using practical Excel BI techniques.
This course gives you a clear and practical pathway to using Power Pivot for professional data analysis in Microsoft Excel. Youβll learn how to import data from multiple sources, prepare datasets, and structure information so it can be analyzed efficiently and accurately. Weβll explore how Power Pivot helps you go beyond basic spreadsheets by creating relationships between tables, building stronger data models, and generating meaningful Pivot Table and Pivot Chart reports. Youβll also learn how to apply statistical measures, interpret outputs, and uncover patterns in business data. As you progress, youβll work with practical examples such as loan analysis and financial datasets to understand how Power Pivot supports real-world decision-making. Youβll also learn how slicers and dashboards make reports interactive, easier to explore, and more useful for business users. By the end of the course, youβll be able to confidently use Power Pivot to manage complex datasets, create dynamic reports, design interactive dashboards, and generate insights that support data-driven decisions.
This module introduces learners to the Power Pivot environment in Microsoft Excel, focusing on understanding its interface, importing data from multiple sources, and preparing datasets for analysis. Learners will build a strong foundation in data structuring and formatting to enable accurate and efficient analytical workflows.
What's included
6 videos4 assignments
6 videosβ’Total 61 minutes
- Introduction to Power Pivot GUIβ’10 minutes
- Data Importβ’5 minutes
- Data Formattingβ’12 minutes
- Pivot Chart Example 1β’12 minutes
- Pivot Chart Example 2β’12 minutes
- Pivot Chart Example 3β’9 minutes
4 assignmentsβ’Total 60 minutes
- Getting Started with Power Pivot & Data Preparationβ’30 minutes
- Exploring Power Pivot Interface & Importing Dataβ’10 minutes
- Preparing and Formatting Data for Analysisβ’10 minutes
- Building Initial Visual Insights with Pivot Chartsβ’10 minutes
This module focuses on developing advanced data analysis skills using Pivot Tables and Pivot Charts. Learners will explore aggregation techniques, statistical measures, and data interpretation methods to derive meaningful insights and support data-driven decision-making.
What's included
7 videos4 assignments
7 videosβ’Total 74 minutes
- Creating Pivot Tableβ’12 minutes
- Adding Min and Max Valueβ’11 minutes
- Pivot Table and Pie Chartβ’12 minutes
- Pivot Table and Pie Chart Continuesβ’10 minutes
- Insert Function and Formulaβ’11 minutes
- Pivot Table Fieldβ’7 minutes
- Pivot Table Analysisβ’11 minutes
4 assignmentsβ’Total 60 minutes
- Mastering Pivot Tables and Analytical Techniquesβ’30 minutes
- Creating and Enhancing Pivot Tablesβ’10 minutes
- Visualizing Data with Charts and Functionsβ’10 minutes
- Deep Dive into Pivot Table Fields and Analysisβ’10 minutes
This module introduces advanced Power Pivot capabilities, including creating data relationships, performing real-world analysis, and designing interactive dashboards using slicers. Learners will gain the ability to build dynamic, multi-dimensional reports for deeper insights and decision-making.
What's included
8 videos4 assignments
8 videosβ’Total 66 minutes
- Creating One to One Relationshipβ’10 minutes
- One to One Relationship Continuesβ’9 minutes
- Loan Applicants Analysisβ’11 minutes
- Loan Applicants Analysis Continuesβ’6 minutes
- Inserting slicerβ’10 minutes
- More on Inserting slicerβ’4 minutes
- Insert Loan Statusβ’8 minutes
- Add Literacy and Provinceβ’7 minutes
4 assignmentsβ’Total 60 minutes
- Advanced Data Modeling & Interactive Dashboardsβ’30 minutes
- Understanding Data Relationships in Power Pivotβ’10 minutes
- Applying Analysis to Real-World Scenariosβ’10 minutes
- Enhancing Reports with Interactivity and Filtersβ’10 minutes
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