An essential initial step in doing statistical analyses is a descriptive analysis. It gives you a sense of how your data is distributed, aids in the detection of errors and outliers, and enables you to find relationships between variables, preparing you for future statistical analysis.
The dynamics of how analytics and artificial intelligence are employed in banking today have dramatically changed as a result of how the data analytics in banking industry has developed along with the wave of the digital revolution. Analytics can be applied to save costs and expand the client base.
Learn to effectively utilize the different descriptive analysis techniques for driving business decisions with the help of an example from banking domain.
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