Python for Data Basics is a 50-hour beginner-friendly course designed to introduce participants to Python programming for data-related tasks, including handling datasets, performing data manipulation and cleaning, and creating visualizations. Delivered online through flexible one-to-one instruction or a structured group option, learners progress from understanding Python fundamentals to working with real-world datasets and completing a supervised mini-project that demonstrates practical data skills. No prior coding or data experience is required, making this course ideal for beginners aged 16+ who wish to gain foundational Python skills and data literacy. Participants receive personalised guidance, verified learning hours, and a Certificate of Achievement upon completing at least 70% of the total course hours.

Modules:
Python Basics Review;
Working with Lists, Dictionaries, and Data Structures;
Reading and Writing CSV Files;
Introduction to Data Visualization with Matplotlib;
Mini Project – Data Analysis and Visualization

Learning Outcomes:
Understand Python programming fundamentals;
Work with basic datasets (CSV, Excel);
Perform data manipulation and cleaning;
Visualize data using charts and graphs;
Complete a small data project applying Python to real-world datasets

Entry Requirements:
None – suitable for complete beginners with no prior coding knowledge