Exploratory Data Analysis With Python and Pandas
Key Takeaways
Performs Exploratory Data Analysis with Python and Pandas to conduct univariate, bivariate, and correlation analysis and handle missing data
Original Description
In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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