End to End Data Science Practicum with Knime

The course starts with a top down approach to data science projects. Data Understanding: We cover the data types and data problems. We also try to visualize data to discover. Data Preprocessing: We cover the classical problems on data and also handling the problems like noisy or dirty data and missing values. Row or column filtering, data integration with concatenation and joins.