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Live catalogue · learning paths
These counts reflect active postings whose title or description matches each term. They are not counts of required skills. Open the employer's posting to see how a skill is used.
Python is used to write data pipelines, experiments and production machine learning code. Read the employer's posting to see which libraries and level of experience it asks for.
NumPy provides arrays and numerical operations used throughout data and machine learning work. A mention in a posting does not tell you how deeply the team uses it.
pandas helps teams clean, combine and analyse tabular data. Check each employer's description for the actual data tasks and tools involved.
scikit-learn is used for classical machine learning workflows, from preprocessing to model evaluation. The Data Tools track teaches its fit, transform and predict API.
Machine learning roles span modelling, data preparation, evaluation and production systems. The words in a posting are a starting point; the role itself decides which work matters.
Statistics helps people reason about data, uncertainty and model results. Open the employer's posting to see whether the role asks for analysis, experimentation or research.