Overview
Build a solid foundation in Python programming for data analysis, automation, and applied business intelligence. This hands‑on program introduces Python syntax, data structures, and key libraries (Pandas, NumPy, Matplotlib) used for manipulating, analyzing, and visualizing data. Participants will learn to automate repetitive tasks, perform exploratory data analysis, and create insightful visualizations. Through practical exercises with real‑world datasets, attendees will develop the skills to leverage Python for business intelligence and decision support. No prior programming experience is required – this program is designed for professionals seeking to add Python to their analytical toolkit.
Objectives
- Understand Python basics: variables, data types, loops, and functions
- Use Pandas for data manipulation (filtering, grouping, merging)
- Apply NumPy for numerical computations and array operations
- Create data visualizations with Matplotlib and Seaborn
- Automate Excel and CSV file processing with Python
- Perform exploratory data analysis to uncover insights
- Connect to databases and APIs for data extraction
- Write reusable scripts for common analytical tasks
- Apply Python to business problems (sales analysis, forecasting, etc.)
Target Audience
- Business and data analysts seeking to upskill
- Finance and marketing professionals working with data
- Researchers and academics
- IT professionals moving into data roles
- Anyone interested in learning Python for data work
- Consultants who need to analyze client data
Methodology
- Interactive coding exercises in Jupyter notebooks
- Hands‑on projects with real datasets
- Step‑by‑step guidance from experienced instructors
- Peer coding and pair programming sessions
- Case studies of Python in business intelligence
- Resources for continued learning
- Development of a portfolio of Python scripts
