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Starts 9 June 2025 08:42
Ends 9 June 2025
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Automate Excel With Python - How to Use Python in Spreadsheets
Discover how to write Python code directly in spreadsheets using Quadratic, a free tool that combines Python's power with spreadsheet functionality, including AI data generation, charts, and database connections.
Tech with Tim
via YouTube
Tech with Tim
2565 Courses
13 minutes
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Overview
Discover how to write Python code directly in spreadsheets using Quadratic, a free tool that combines Python's power with spreadsheet functionality, including AI data generation, charts, and database connections.
Syllabus
- Introduction to Excel Automation
- Setting Up Python in Spreadsheets
- Python Basics for Excel
- Manipulating Excel Data with Python
- Advanced Data Analysis
- Visualization and Charting
- Database Integration
- Automating Repetitive Tasks
- Case Studies and Practical Applications
- Troubleshooting and Best Practices
- Course Conclusion
Overview of Excel functionalities
Limitations of traditional Excel automation
Introduction to Python in spreadsheets with Quadratic
Installing Quadratic
Basic setup and initialization
Familiarization with Python syntax
Data types and structures
Essential libraries for data analysis: Pandas, NumPy
Reading and writing Excel data
Data cleaning and transformation
Implementing formulas and functions in Python
Generating statistical summaries
Pivot tables with Python
Integrating AI data generation
Creating charts with Matplotlib and Seaborn
Dynamic updates with Python-driven visuals
Connecting to databases from Excel
Fetching and updating database records
Real-time data analytics
Building Python scripts for automation
Scheduling and running Python tasks
Managing dependencies and updates
Real-world scenarios of Excel automation
Hands-on project: Automating a business report
Use cases in finance, marketing, and operations
Debugging in a spreadsheet environment
Performance optimization strategies
Ensuring data integrity and security
Recap of key concepts
Future trends and advancements
Additional resources and continued learning opportunities
Subjects
Programming