Exploratory Data Analysis with Python and Pandas

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

• Apply Exploratory Data Analysis techniques on tabular datasets using Python packages
• Create data visualizations with Seaborn and Matplotlib
• Conduct univariate and bivariate analysis including correlation
• Identify and handle duplicate or missing data

• Basic familiarity with Python programming
• Ability to follow step-by-step instructions in English