Data Science Fundamentals

Gain a solid foundation in data science. Learn to collect, clean, analyse, and visualise data, and build your first machine learning models using Python libraries like Pandas, NumPy, Matplotlib, and Scikit-learn.

What You’ll Learn

• Analyse datasets and extract meaningful insights
• Build and evaluate ML models
• Create professional data visualisations
• Handle messy, real-world data confidently
• Present data-driven findings clearly

Topics Covered

• Python for data science (NumPy, Pandas)
• Data cleaning and preprocessing
• Exploratory data analysis (EDA)
• Data visualisation with Matplotlib and Seaborn
• Introduction to machine learning
• Supervised learning: regression and classification
• Unsupervised learning: clustering
• Model evaluation and validation
• Working with real-world datasets