Excel Sales Dashboard and Pivot Table
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Excel Sales Dashboard and Pivot Table
This course is part of Excel Dashboards for Business Analytics Specialization
Instructor: EDUCBA
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What you'll learn
Build interactive sales dashboards using Pivot Tables and Pivot Charts.
Apply slicers, formatting, and visualization techniques for dynamic reporting.
Analyze sales data to generate actionable business insights and KPIs.
Skills you'll gain
Tools you'll learn
Details to know
May 2026
30 assignments
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- Earn a shareable career certificate
There are 6 modules in this course
Learn how to build interactive Excel sales dashboards that transform raw business data into clear visual insights and professional reports. Master Pivot Tables, Pivot Charts, slicers, and dashboard design techniques used for real-world business analysis.
This course provides a practical, step-by-step approach to creating professional sales dashboards in Microsoft Excel. Youβll learn how to prepare and structure datasets, analyze sales performance using Pivot Tables, and create visually engaging Pivot Charts that help businesses track KPIs and make informed decisions. As you progress, youβll build a complete Excel Sales Dashboard from scratch while learning essential dashboard design principles and visualization best practices. The course also demonstrates how to enhance reports using labels, formatting techniques, and interactive slicers that allow users to filter and explore data dynamically. What makes this course unique is its hands-on learning approach using realistic business data and practical reporting scenarios. Instead of focusing only on Excel features, learners develop job-ready skills for creating dashboards used in sales reporting, business performance tracking, and strategic analysis. By the end of the course, youβll be able to confidently analyze sales data, design interactive dashboards, create impactful visual reports, and deliver actionable business insights using Excel.
This module introduces the core concepts of building an advanced sales productivity dashboard in Excel. Learners will explore data structuring, target setting, revenue integration, and foundational techniques required to create accurate and insightful dashboards.
What's included
12 videos5 assignments
12 videosβ’Total 97 minutes
- Introduction to Sales Productivity Dashboard Advancedβ’10 minutes
- Data Introductionβ’6 minutes
- Adding Formula Data Baseβ’9 minutes
- Quarter Target and Percentage Achievementβ’4 minutes
- Target YTDβ’6 minutes
- CTC Definitionβ’7 minutes
- Remove Partβ’11 minutes
- CTC Taggingβ’6 minutes
- Working With Core Revenueβ’10 minutes
- Adding Core Revenue to Each Factorβ’9 minutes
- Conditional Formattingβ’9 minutes
- Individual Employee Viewβ’11 minutes
5 assignmentsβ’Total 70 minutes
- Graded - Foundations of Advanced Sales Dashboardingβ’30 minutes
- Getting Started with Advanced Dashboard Conceptsβ’10 minutes
- Setting Targets and Performance Metricsβ’10 minutes
- Data Cleaning and Structuring for Analysisβ’10 minutes
- Enhancing Data with Revenue Insightsβ’10 minutes
This module focuses on designing multi-dimensional dashboard views, including employee-level, departmental, and zone-based analysis. Learners will also explore automation techniques using macros and advanced performance evaluation methods.
What's included
12 videos5 assignments
12 videosβ’Total 83 minutes
- Individual Employee View Continuesβ’6 minutes
- Department Grid Viewβ’8 minutes
- Sales Employee Profileβ’6 minutes
- Zone Grid Viewβ’9 minutes
- Data Break Macroβ’6 minutes
- Data Break Macro Continuesβ’10 minutes
- Delete Sheets Macroβ’4 minutes
- Performance Linkageβ’4 minutes
- Sigma Analysisβ’8 minutes
- More on Sigma Analysisβ’6 minutes
- Core Rev Sigma Analysisβ’5 minutes
- CTC wise Analysisβ’10 minutes
5 assignmentsβ’Total 70 minutes
- Building Multi-Dimensional Viewsβ’30 minutes
- Employee-Level Dashboard Designβ’10 minutes
- Regional and Zone-Level Analysisβ’10 minutes
- Automating Data Managementβ’10 minutes
- Advanced Performance Evaluationβ’10 minutes
This module covers financial analysis techniques, including revenue-cost evaluation, budgeting, pivot tables, and trend analysis. Learners will gain hands-on experience in transforming raw data into meaningful financial insights.
What's included
11 videos5 assignments
11 videosβ’Total 86 minutes
- Core Rev CTC Analysisβ’3 minutes
- Budgetβ’11 minutes
- Budget Continuesβ’9 minutes
- Pivot Tableβ’11 minutes
- Pivot Table Continuesβ’8 minutes
- Pivot Chartsβ’9 minutes
- Consolidationβ’6 minutes
- Trend Analysisβ’7 minutes
- More on Trend Analysisβ’9 minutes
- Goal Seekβ’7 minutes
- Objectives and Distribution of Montecarlo Simulationβ’6 minutes
5 assignmentsβ’Total 70 minutes
- Graded - Financial and Pivot-Based Analysisβ’30 minutes
- Revenue and Cost-Based Analysisβ’10 minutes
- Mastering Pivot Tables and Chartsβ’10 minutes
- Data Consolidation and Trend Insightsβ’10 minutes
- Scenario Analysis with Goal Seekβ’10 minutes
This module introduces advanced statistical modeling techniques, including Monte Carlo simulation, probability distributions, and iterative analysis. Learners will build predictive models to handle uncertainty and forecast outcomes.
What's included
8 videos5 assignments
8 videosβ’Total 53 minutes
- Advantages of Montecarlo Simulationβ’6 minutes
- Normal Distribution for Montecarlo Simulationβ’9 minutes
- Iteration in Montecarlo Simulationβ’6 minutes
- Iteration in Montecarlo Simulationβ’6 minutes
- Trigular Distribution in Montecarlo Simulationβ’6 minutes
- Trigular Distribution in Montecarlo Simulation Continueβ’6 minutes
- Create a Data Analysis with Null Matrixβ’12 minutes
- Year to Year Data Analysisβ’2 minutes
5 assignmentsβ’Total 70 minutes
- Graded - Monte Carlo Simulation & Advanced Modelingβ’30 minutes
- Introduction to Simulation Techniquesβ’10 minutes
- Iteration and Simulation Logicβ’10 minutes
- Advanced Distribution Modelingβ’10 minutes
- Data Structuring for Analysisβ’10 minutes
This module focuses on extracting actionable insights using statistical techniques such as ranking, histogram analysis, regression, and comparative analysis. Learners will develop the ability to interpret complex datasets for business decision-making.
What's included
8 videos5 assignments
8 videosβ’Total 58 minutes
- Formatting a Data Pieceβ’10 minutes
- Top Ranked Exits Analysisβ’8 minutes
- Year on Year Exit Analysisβ’6 minutes
- Active Visavis Inactive Analysisβ’5 minutes
- Active Visavis Inactive Analysis Continuesβ’7 minutes
- Histogram Analysisβ’8 minutes
- Histogram Analysis Continuesβ’7 minutes
- Regression Analysisβ’7 minutes
5 assignmentsβ’Total 70 minutes
- Graded - Business Insights & Statistical Analysisβ’30 minutes
- Data Formatting and Ranking Insightsβ’10 minutes
- Comparative Business Analysisβ’10 minutes
- Advanced Comparative Insightsβ’10 minutes
- Statistical Modeling Techniquesβ’10 minutes
This module emphasizes dashboard automation and presentation techniques, including macros, PowerPoint integration, navigation design, and final dashboard enhancements to create professional and user-friendly outputs.
What's included
8 videos5 assignments
8 videosβ’Total 50 minutes
- Rank and Percentileβ’11 minutes
- Descriptive Statisticsβ’7 minutes
- Create Presentation View Macroβ’4 minutes
- Dashboard to PPTβ’4 minutes
- Using Hyper Link in Indexβ’7 minutes
- Using Hyper Link in Index Continuesβ’6 minutes
- Adding Header to Sales Productivity Dashboardβ’9 minutes
- Conclusionβ’3 minutes
5 assignmentsβ’Total 90 minutes
- Graded - Dashboard Automation & Presentationβ’30 minutes
- Statistical Summaries and Rankingβ’30 minutes
- Automating Dashboard Outputsβ’10 minutes
- Navigation and User Experienceβ’10 minutes
- Final Dashboard Enhancementsβ’10 minutes
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