Data Preparation:-
-Understanding Data
-Importing Data
-Handling Redundancies in Data
-Detecting & Handling Outliers
-Strategies to address Missing Data
-Standarization & Normalization
This session will allow the learners to tackle the first stage of performing any analysis, Data Preparation. This session reinstates the fact, as to how a simple python script can be used to prepare data efficiently.
