1 hour 26 minutes
Course DescriptionSearch for and deal with missing values, outliers, and anomalies in an online retail dataset. Create new columns from existing data and design visualizations to demonstrate your findings. This course is part of the Data Analysis learning path – complete this path to learn how to analyze a variety of different datasets using Python.
- Prior knowledge of Python is assumed. Previous experience of using standard Python packages for data analysis (such as pandas, NumPy, and SciPy) will be beneficial, though is not an absolute requirement.