📊 Mastering Google Sheets for Data Analytics! 🚀

Over the past few days, I’ve been learning Google Sheets through Google Cloud to build a solid foundation in data handling. Here’s what I’ve covered so far:

✅ Introduction to Google Sheets
Navigating the interface
Understanding rows, columns, and cells
Creating and saving spreadsheets
✅ Managing & Organizing Data
Sorting and filtering data for better analysis
Freezing rows/columns for improved visibility
Using data validation to ensure accuracy
✅ Formatting for Clarity
Adjusting fonts, colors, and cell sizes
Conditional formatting to highlight important insights
Merging cells and adding borders for better structure
✅ Basic Formulas & Functions
SUM, AVERAGE, MIN, MAX for calculations
COUNT and COUNTA to count data entries
IF statements for logic-based operations
✅ Creating Charts & Visualizations
Building bar, line, and pie charts
Customizing chart elements like titles, labels, and colors
Using Pivot Tables to summarize large datasets
📌 What’s Next?

Advanced Functions (VLOOKUP, HLOOKUP, INDEX-MATCH)
Automation (Macros & Google App Scripts)
Real-world projects to apply learning

💡 Have any favorite Google Sheets tips or use cases? Drop them in the comments! Let’s learn together. 🚀