Let's get to grips with the Python Pandas library for data analytics / analysis
InstructorKieran Keene
Covers essential tasks including handling missing values, removing duplicates, and using Group By and Apply functions.
Lessons are described as straightforward and well-explained, utilizing short videos that facilitate step-by-step learning.
Includes a guided project for data ingestion and cleaning, followed by a dedicated section for practicing learned skills.
This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
One historical signal from before the last update noted a potential issue with sample data files; however, the update label does not prove this was corrected.
The curriculum aligns well with the target of beginner Python developers interested in data analytics.