Build the Python and data-analysis foundations for machine learning: Python for data work, NumPy, pandas, data cleaning and exploratory data analysis.
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Build the Python and data-analysis foundations for machine learning: Python for data work, NumPy, pandas, data cleaning and exploratory data analysis.
Write Python for data work, clean and explore real datasets with NumPy and pandas, and document evidence-based findings in notebooks.
Click any module to expand and view topics and hands-on builds included.
Write readable Python with collections, functions, files and exceptions inside Jupyter notebooks.
Load, inspect, filter, group, merge and transform tabular datasets with NumPy and pandas.
Handle missing values, duplicates, inconsistent labels, data types and outliers.
Ask questions, compare groups, and produce an EDA brief with a transformation log.
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