Overview
Data wrangling is the process of cleaning and organizing raw data into a usable format. It involves transforming data from various sources to make it easier to analyze. In this introduction, students will learn why data wrangling is important and how it sets the foundation for effective data analysis and decision-making. Mastering these skills will help students work with data more efficiently and accurately.
📚 Key Learning Objectives
- ✓ Define data wrangling and its importance in data science.
- ✓ Identify common data sources and formats.
- ✓ Demonstrate basic data cleaning techniques.
- ✓ Transform raw data into a structured format.
- ✓ Apply data wrangling tools and software in practice.
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