Pandas with Python: Analyze, Transform & Export Data

Learners will gain the ability to manipulate, analyze, and visualize data effectively using Python’s Pandas library. By the end of this course, they will be able to filter and transform datasets, apply grouping and aggregation, handle missing values, manage indexes, and reshape data for advanced analytics. They will also master techniques for working with time series, pivot tables, crosstabs, and exporting data to CSV and Excel. This course is designed for aspiring data analysts, Python enthusiasts, and professionals looking to strengthen their data manipulation skills. With hands-on lessons …