Building Reliable Regression Models with Python
Learn how regression models predict continuous values, how linear, polynomial, regularized, and advanced regressors work, and how to evaluate them with a practical Python workflow.
Python
Reading, Writing, and Formatting Excel Files with Python Packages
Learn how to choose the right Python package for Excel file workflows, read workbook data without opening Excel, generate formatted reports, handle large files, preserve macros, and work with modern and legacy Excel formats.
Learning Python Foundations with Practical Examples for New Developers
Learn the Python basics that matter for real data work: variables, objects, data types, strings, lists, dictionaries, loops, functions, modules, dates, formatting, linting, and type hints.
Practical Data Analysis with pandas for Developers
Learn how to use pandas DataFrames for cleaning, selecting, combining, aggregating, plotting, importing, and exporting tabular data with practical Python examples.