Python Course

Excel is NOT the only choice for daily office data processing!

Practical focused! One course from zero to daily application, completed with AI, suitable for students with no programming background.

Learn how to use Python for basic statistical analysis, utilize Vibe Coding to collaborate with AI, and automatically generate analysis reports and automated tasks.

Early Bird Offer Available!

Contact us now for Early Bird registration to get 1 free trial lesson!

Course Introduction

Designed for office professionals with no coding background, this course utilizes the Vibe Coding mode throughout to teach practical Python applications in data processing and analysis. Deeply integrated with the latest AI tool, Cursor, you will learn to efficiently complete data tasks by simply expressing your needs without learning complex code, enhancing your productivity and data insights.

Course Syllabus (Total 8 Hours)

Session 1: Vibe Coding & Python Environment Setup (2 Hours) • Python environment setup & basic syntax • Learn how to quickly master Python using Cursor AI's Vibe Coding mode • Case Study: Collaborating with AI to write your first automation script
Session 2: Core Concepts of Pandas Data Processing (2 Hours) • Introduction to Pandas core data structures: Series and DataFrame • Learning data cleaning, filtering, and sorting using Pandas • Case Study: Processing real office data, such as sales records or employee lists
Session 3: Data Visualization & Automated Reporting (2 Hours) • Learning data visualization with Matplotlib and Seaborn • Automated report generation and chart exporting • Case Study: Automatically generating monthly business analysis charts
Session 4: Introduction to Scikit-learn Machine Learning Tools (2 Hours) • Introduction to basic Scikit-learn tools and the machine learning workflow • Learning how to build basic prediction models and feature analysis with AI assistance • Case Study: Using AI to automatically generate data analysis suggestions for business decision support

Suitable for students with no programming background