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Excel for Data Analytics · Lesson 10 · Final Project

Real-World Excel Data Analytics Project

Work like a data analyst: understand sales data, calculate business metrics, investigate patterns, summarize performance and communicate evidence-based findings.

Lesson progress

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Complete the activity and related MCQ to unlock the next concept.

Your role

You Are the Data Analyst

An electronics company has provided sales transactions. Management wants to understand revenue performance across products, regions and salespeople. Your job is to analyze the evidence—not to guess or make unsupported personal judgments.

01
Understand
02
Calculate
03
Explore
04
Investigate
05
Explain

Dataset

Sales Transactions

Assume this table is stored in an Excel worksheet named SalesData. Column order is A:H as shown below.

Eight sales transactions with regions, products, units, prices, costs and revenue
Order IDRegionProductSalespersonUnits (E)Price (F)Cost/Unit (G)Revenue (H)
O1001NorthLaptopAmit5₹50,000₹40,000₹2,50,000
O1002SouthMonitorNeha8₹15,000₹11,000₹1,20,000
O1003EastLaptopRahul3₹50,000₹40,000₹1,50,000
O1004WestKeyboardPriya20₹2,000₹1,200₹40,000
O1005NorthMonitorKaran10₹15,000₹11,000₹1,50,000
O1006SouthLaptopSonia4₹50,000₹40,000₹2,00,000
O1007EastMouseVikas25₹1,000₹600₹25,000
O1008WestLaptopRiya2₹50,000₹40,000₹1,00,000

Formula alignment note: Revenue uses Units in column E × Price in column F. Profit uses Revenue in H − (Units in E × Cost/Unit in G).

01 · UNDERSTAND THE DATA

Start With the Raw Dataset

A real analyst begins by understanding what each column represents before calculating anything. The same dataset structure is used throughout this capstone.

Visual / worked example

Read the fields before the figures

1Region · where the sale occurred
2Product · what was sold
3Units · quantity sold
4Price · selling price per unit
5Cost/Unit · cost per unit
6Revenue · sales value for the transaction

Analyst's checkpoint

Use only what the displayed data supports. If a result looks unusual, investigate it before drawing a conclusion.

Interactive activity

Dataset literacy

Before calculating metrics, what should an analyst understand first?