Dive deeper into data selection and manipulation, learning how to filter datasets based on specific conditions, clean data by handling missing values, and create new derived features from existing data. Each step builds your skillset, preparing you to tackle more complex data cleaning challenges.
Overview
Syllabus
- Lesson 1: Deep Dive into Conditional Selection
- Lesson 2: Handling Missing Values
- Lesson 3: Creating New Columns in Pandas
- Lesson 4: Data Cleaning and Transformation
