Data Cleaning with Python and Pandas: A Complete Practical Guide
Learn a repeatable pandas data cleaning workflow: audit, fix text and types, parse dates, handle invalid values, remove duplicates, flag outliers, and validate.
Xray AI Lab
Learn a repeatable pandas data cleaning workflow: audit, fix text and types, parse dates, handle invalid values, remove duplicates, flag outliers, and validate.
Learn to measure data quality across six dimensions, detect and fix bad data with pandas, enforce rules with pandera, and see how bad data hurts models.
Run a complete exploratory data analysis in Python with pandas and seaborn on the Palmer Penguins data, from data quality checks to a Simpson's paradox.
Learn data cleaning with Python and pandas: fix text, dates, types, duplicates and missing values with a tested pipeline you can check against ground truth.
Learn Python for data science from scratch: core syntax, NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, a student scores project, and a learning roadmap.