Learn steps for cleaning and peparing data for analysis - including handling missing values, formatting, normalizing and binning data.

perform exploratory data analysis and apply analytical techniques to real-world datasets.

Manipulate data using dataframes, summarise data, understand data distribution, perform correlation.

Build and evaluate regression models and use them for prediction and decision making.