Exploratory Data Analysis Techniques in Python course. In this course you will learn how to explore and visualize large data sets using Python libraries such as NumPy, Pandas and Matplotlib to perform data analysis. Exploratory Data Analysis (EDA) is an important step in any data analysis project. In this course, Data Analysis Techniques in Python, you will gain the ability to perform EDA on large data sets using Python. First, you will be introduced to quantitative, summary, and clustering techniques to identify patterns, clusters, and relationships within your data. Next, you’ll explore data distributions, including quantitative, summary, and descriptive techniques that will help you understand data distributions and their key characteristics. Finally, you will understand how to use sampling and correlation techniques to explore relationships between different variables in your data.
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