Identify missing values, outliers and trends in medical data. Create bar charts, heatmaps and other visualizations to understand how the features impact the target column of the data set. 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.