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Understanding underlying trends and outliers in data is a necessary step to do proper data preparation and feature engineering for subsequent machine learning tasks. In this course, Exploratory Data Analysis with AWS Machine Learning, you’ll learn how to analyze, visualize, preprocess and feature engineer datasets to make them ready for subsequent machine learning steps. First, you’ll explore how to understand data trends and distribution using basic statistics. Next, you’ll discover how to visualize your dataset to understand the overall patterns. Finally, you’ll learn how to prepare your data for the machine learning pipeline by doing preprocessing and feature engineering. When you’re finished with this course, you’ll have the skills and knowledge of exploratory data analysis needed to achieve AWS Machine Learning specialty certification.
