Course Objective
To demystify data analytics by introducing participants to Python programming and essential libraries (NumPy,
Pandas, and Matplotlib), enabling them to perform basic data analysis and create insights to support day-to-day
financial decision-making.

Course Outline

• Introduction to Data Analytics
• Getting Started with Python
• Analyzing Numbers with NumPy
• Managing Financial Data with Pandas
• Visualizing Insights with Matplotlib
• Hands-On Practice

Duration: 3 Days

Target Group

All staff in the finance sector, regardless of technical background, who wish to gain foundational skills in data
analytics and understand how to work with data for quick and effective decision-making