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
- Explain the importance of data exploration and visualization in the data analysis process.
- Identify and apply techniques for data exploration, such as summarizing data, detecting outliers, and identifying correlations.
- Analyze the different types of plots created with visualization libraries like Matplotlib and Seaborn.
- Apply data exploration and visualization techniques to real-world datasets.
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