We provide virtual course about Claude in Excel - Your Intelligent Spreadsheet Assistant in english. This course demonstrates how to leverage Anthropic Claude within the Excel interface to transform spreadsheets from static data grids into proactive, solution-oriented tools.
Course description:
Participants will master natural language interaction (Prompt Engineering) to automate formula authoring, perform complex data scrubbing, and translate technical Excel logic into plain english.
Key takeaways:
• Formula Mastery: Eliminate syntax frustration by delegating formula construction to AI
• Operational Efficiency: Reduce time spent on data prep (cleaning/formatting) by up to 90%
• Advanced Prompting: Master the art of communicating with AI to achieve precise technical results
• Self-Sufficiency: Solve complex Excel challenges independently without internal IT support
Course content:
Day 1 - Unlocking AI Potential and Data Transformation:
Module 1 - Introduction to AI - Claude as Your New Co-worker:
• Lesson 1: Understanding Claude: Architecture and Integration within Excel
• Lesson 2: Navigation: Utilizing the Sidebar for Effective Prompting
• Lesson 3: Governance & Security: Data Privacy Best Practices in AI Interactions
• Hands-on Lab: Initiating your first AI dialogue - Generating high-level workbook summaries
Module 2 - Streamlining Data Cleaning and Normalization:
• Lesson 1: Advanced Text Manipulation: Splitting strings (Names, Addresses) without complex syntax
• Lesson 2: Data Standardization: Normalizing Date and Currency formats instantaneously
• Lesson 3: Intelligent Categorization: Using Claude as a semantic "Tagger" for expense and lead management
• Hands-on Lab: Cleaning a "dirty" CRM export - Standardizing 500+ records in minutes
Module 3 - Claude as Your Personal Excel Mentor:
• Lesson 1: Reverse Engineering: Decoding legacy formulas and complex nested logic
• Lesson 2: Structural Analysis: Identifying cross-sheet dependencies and workbook architecture
• Lesson 3: Documentation: Automating the creation of technical descriptions for your workbooks
• Hands-on Lab: Analyzing a "Legacy" Workbook - Understanding calculation logic without stakeholder input
Module 4 - Skills and Hooks:
Natural Language Formula Authoring:
• Lesson 1: Syntax-Free Calculation: Describing business logic to generate functional formulas
• Lesson 2: From Basic Logic to Advanced Lookups: Mastering IF statements and XLOOKUP
• Lesson 3: Debugging & Troubleshooting: Identifying and resolving formula errors via AI diagnostics
• Hands-on Lab: Building a custom-tailored calculation engine using the AI Assistant
Day 2 - Reporting, Visualization, and Workflow Optimization:
Module 5 - Rapid Data Insights and Business Intelligence:
• Lesson 1: Trend Analysis: Identifying top performers and financial leakage points through natural language queries
• Lesson 2: Delta Analysis: Comparing datasets and identifying discrepancies between tables
• Lesson 3: Executive Summaries: Distilling large datasets into actionable insights
• Hands-on Lab: Generating a "Top 5 Insights" report from a comprehensive sales dataset
Module 6 - Stress-Free Pivot Tables and Data Visualization:
• Lesson 1: Pivot Table Architecture: Step-by-step construction guided by AI
• Lesson 2: Visual Storytelling: Selecting optimal chart types based on data distribution
• Lesson 3: Advanced Conditional Formatting: Highlighting critical KPIs using AI-generated rules
• Hands-on Lab: Developing a professional sales dashboard with assistant-led formatting
Module 7 - What-If Scenarios and Resource Planning:
• Lesson 1: Dynamic Budgeting: Simulating outcomes based on variable input changes
• Lesson 2: Project Management in Excel: Creating automated task lists and simple schedules
• Lesson 3: Bulk Operations: Executing mass updates to pricing or descriptions across the workbook
• Hands-on Lab: Simulating a corporate project budget or home finance model
Module 8 - Optimizing Your Modern Workflow:
• Lesson 1: Efficiency Hacks: Keyboard shortcuts and rapid access to the Claude interface
• Lesson 2: Prompt Libraries: Building a personal repository of high-performing commands
• Lesson 3: Continuous Learning: Staying updated with AI advancements and feature releases
• Hands-on Lab: Developing a "Post-Training Action Plan" - Identifying 5 immediate tasks for AI delegation
Target audience:
Business User, Excel users, Analysts who want to leverage AI like Claude in Excel
Prerequisites:
• Fundamental knowledge of Microsoft Excel (data entry, basic arithmetic functions, workbook navigation)
• No prior experience with Artificial Intelligence is required
Language:
• English course material and english speaking instructor
Course material:
The course fee includes course material