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Day 01 — Part 2: Excel for Analytics: Agenda

Excel is the most widely used analytics tool on earth. Long before — and long after — you learn SQL and Python, you'll use Excel. This session covers the Excel that matters for analysts: formulas that do real work, pivot tables, lookups, conditional formatting, and the shortcuts that make you fast.

Session Overview

Duration: 2.5–3 hours Prerequisite: Introduction to Data Analytics Tools: Excel 365 (most features work in 2019+; version notes included where relevant)


Learning Objectives

By the end of this session you will be able to:

Beginners - Use core formulas: SUM, AVERAGE, COUNT, IF, and cell referencing - Build a pivot table to summarise data - Use XLOOKUP / VLOOKUP to combine data from different tables - Apply conditional formatting to highlight what matters

Mid-level - Use SUMIFS, COUNTIFS, INDEX/MATCH fluently - Build dynamic pivot tables with slicers - Understand absolute vs relative references and when each breaks

Senior - Know when Excel is the right tool vs when to move to SQL/Power BI - Use dynamic array formulas (FILTER, SORT, UNIQUE) in Excel 365 - Build reusable, auditable spreadsheet models


Session Flow

# Topic File
1 Basic formulas and cell referencing 01-basic-formulas
2 Pivot tables 02-pivot-tables
3 Lookup functions (XLOOKUP, VLOOKUP, INDEX/MATCH) 03-lookup-functions
4 Conditional formatting 04-conditional-formatting
5 Excel shortcuts for speed 05-excel-shortcuts
6 Mini exercises 06-mini-exercises
7 Interview questions 07-interview-questions

Why Excel Still Matters

Excel is not "beginner" — it's universal

Senior analysts at top companies use Excel daily. It's where business users live, where quick models get built, and where data lands before it goes anywhere else. Dismissing Excel is a junior mistake. Mastering it — including Power Query and Power Pivot (covered in Week 02) — makes you immediately useful in any organisation.

The skill isn't knowing every function — it's knowing which tool fits the task:

Task Best in Excel?
Quick pivot of a few thousand rows Yes
Ad-hoc what-if model Yes
Sharing a self-contained analysis Yes
Querying millions of rows No — use SQL
A dashboard for 50 users, auto-refreshed No — use Power BI

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