Overview
Curriculum
In this module, we’ll cover key techniques for data exploration and visualization using Python libraries like pandas, NumPy, Matplotlib, and seaborn. You’ll learn how to explore datasets, create visualizations, and uncover insights that help in understanding patterns and relationships within the data. By the end, you’ll be able to effectively use visual tools to communicate your findings.
What You'll Learn
- Understand why data exploration and visualization are essential in data analysis
- Use techniques like summary statistics, outlier detection, and correlation analysis
- Interpret and choose appropriate plots using Matplotlib and Seaborn
- Apply exploration and visualization skills to real-world datasets
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