Data Science brings together programming, statistics, math, data visualisation and machine learning. Knowing these subjects in theory gives a base but using them in real problems helps students see how they work in real jobs.
For example, learning about Python libraries like Pandas and NumPy teaches students about data handling and numerical computing.
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