What You Will Learn
Modern reporting is shifting away from manual spreadsheet workflows toward automation and dynamic visualizations. This practical workshop is designed specifically for professionals who work with reports, dashboards, and operational data but may not come from a programming background. Participants will learn how to use Python to automate routine data tasks, clean datasets, generate executive-ready charts, and assemble formatted Excel files using widely adopted libraries like Pandas, Matplotlib, Seaborn, and OpenPyXL. The course also integrates advanced workflows using AI chatbots like ChatGPT to safely write, troubleshoot, and optimize code, helping teams scale their analytical productivity without needing an advanced technical degree.
Course Objectives
- Understand the role of Python in standardizing and automating business reports.
- Apply basic Python syntax, data types, and logic structures to reporting scenarios.
- Import, manipulate, and clean disparate CSV and Excel datasets using Pandas.
- Filter, group, aggregate, and summarize business information efficiently.
- Generate presentation-ready charts and visual reports with Matplotlib and Seaborn.
- Automate corporate Excel formatting, styling, and formulas using OpenPyXL.
- Create reusable scripts to eliminate manual and repetitive data preparation tasks.
- Leverage AI tools like ChatGPT to accelerate code generation and troubleshoot bugs.
- Construct targeted engineering prompts specifically tailored for data analysis workflows.
- Assemble end-to-end automated workflows that transform raw data into final summaries.
Methodology
This program will be conducted via highly interactive conceptual lectures, step-by-step technical platform implementation sessions, hands-on framework deployment, systemic diagnostics, and operational data automation capstone reviews.
Course Contents
- Module 1: Introduction to Python for Reporting Automation
- Module 2: Python Fundamentals for Semi-Technical Users
- Module 3: Python Environment and Reporting Setup
- Module 4: Working with Data Using Pandas
- Module 5: Data Visualization with Matplotlib and Seaborn
- Module 6: Excel Reporting Automation with OpenPyXL
- Module 7: AI-Assisted Python Development for Reporting
- Module 8: Building End-to-End Reporting Projects
- Module 9: Operational Best Practices and Next Steps