Python for Data
The essential foundation of all data work. NumPy handles numerical computation. Pandas handles structured data. Matplotlib and Seaborn visualise it. Without these tools, no data science or machine learning work is possible.
Beginner
NumPy
Numerical computing in Python. Arrays, linear algebra, and the mathematical backbone of all data science.
Beginner
Pandas
Data manipulation and analysis. Load, clean, filter, group, and transform datasets of any shape.
Beginner
Matplotlib & Seaborn
Data visualisation. Charts, heatmaps, distributions, and plots that reveal what the data is actually saying.
Beginner
Jupyter Notebooks
The interactive environment used by every data scientist. Code, results, and explanations in one document.