Basic Level
Introduction to Google Sheets
Understanding the interface and layout of Google Sheets
Navigating sheets, rows, columns, and cells
Data Entry and Formatting
Entering data into cells
Formatting text, numbers, and cells (font, color, alignment)
Using basic formulas and functions (SUM, AVERAGE, etc.)
Managing Sheets and Workbooks
Creating, renaming, moving, and deleting sheets
Organizing sheets within a workbook
Importing and exporting data
Working with Data
Sorting and filtering data
Using conditional formatting
Validating data input
Intermediate Level
Advanced Formulas and Functions
Using logical functions (IF, AND, OR)
Working with lookup functions (VLOOKUP, HLOOKUP, INDEX-MATCH)
Using array formulas
Charts and Graphs
Creating and customizing charts (bar, line, pie, etc.)
Adding trendlines and annotations
Using data series and axis customization
Data Analysis
Using pivot tables for data summarization and analysis
Creating pivot charts
Applying filters and slicers in pivot tables
Collaboration and Sharing
Sharing sheets with collaborators
Setting permissions and access levels
Using comments and notes for collaboration
Advanced Level
Automation with Google Apps Script
Introduction to Google Apps Script
Creating custom functions and scripts
Automating repetitive tasks
Data Visualization Techniques
Using advanced chart features (dynamic ranges, combo charts)
Creating dashboard-like layouts
Interactive chart elements (data validation, dropdowns)
Integration with Other Google Services
Importing data from Google Forms, Google Analytics, etc.
Embedding Google Sheets data in Google Slides or Sites
Using Google Drive for file management and organization
Advanced Data Handling
Working with large datasets
Using QUERY function for advanced data retrieval
Data cleaning and transformation techniques
Specialized Topics
Business Applications
Creating financial models and forecasts
Tracking project milestones and progress
Managing inventory and sales data
Educational Uses
Creating gradebooks and student progress trackers
Collaborative lesson planning and resource sharing
Analyzing student data for insights
Customization and Add-ons
Installing and using add-ons for enhanced functionality
Creating custom templates
Advanced formatting techniques (conditional formatting rules, custom number formats)
Security and Compliance
Managing data privacy and security settings
Compliance with GDPR and other regulations
Data backup and recovery best practices
Practical Applications
Real-world Projects: Creating budgets, expense trackers, sales reports, etc.
Case Studies: Analyzing datasets, creating visual reports, and making data-driven decisions.