Supercharge your spreadsheet work with Python. This program teaches participants to use Python for automating repetitive spreadsheet tasks, performing advanced data modeling, and transforming workflows. The curriculum covers reading and writing Excel files with Pandas, automating calculations, building data models, and creating reusable scripts. Through hands‑on exercises and real‑world projects, attendees will learn to replace manual spreadsheet processes with efficient, scalable Python code. This program is ideal for analysts, finance professionals, and anyone who spends significant time in Excel and wants to level up with automation.
Objectives
- Read, write, and manipulate Excel files using Pandas and openpyxl
- Automate data cleaning, transformation, and formatting tasks
- Perform complex calculations and aggregations with Pandas
- Build data models combining multiple spreadsheets
- Create reusable Python scripts for recurring reporting tasks
- Integrate Python with Excel using xlwings or similar tools
- Schedule automated workflows (e.g., using cron or task scheduler)
- Visualize data using Matplotlib or Seaborn
- Understand best practices for code organization and documentation
Target Audience
- Data and financial analysts
- Business intelligence professionals
- Accountants and controllers
- Operations and supply chain analysts
- Anyone who spends significant time on spreadsheet tasks
- Excel power users seeking automation skills
Methodology
- Hands‑on Python coding labs with Jupyter notebooks
- Real‑world spreadsheet automation projects
- Code review and best practice sessions
- Integration demonstrations with Excel
- Case studies of workflow transformations
- Peer collaboration on automation challenges
- Resources for continued Python learning
