Module 2: Excel & Spreadsheets for Analysis
- Use formulas like VLOOKUP/XLOOKUP, SUMIFS, and pivot tables
- Clean messy data with text and date functions
- Build a simple dashboard with conditional formatting and charts
Despite the rise of Python and SQL, Excel and Google Sheets remain the first tool most analysts touch every day, especially in small and mid-sized organizations across Nigeria and the diaspora where a full data warehouse may not exist yet. This module covers lookup formulas (VLOOKUP and the more flexible XLOOKUP), aggregation with SUMIFS and COUNTIFS, and pivot tables for summarizing thousands of rows into a readable table in seconds. You will also practice cleaning real-world messy data: trimming extra spaces, splitting combined name fields, and converting inconsistent date formats, before building a one-page dashboard that updates automatically as new rows are added.
1. Compared to VLOOKUP, XLOOKUP's main advantage is that it:
2. A pivot table is best used to:
3. SUMIFS differs from a plain SUM formula because it: