Data Normalization - Data Outliers Training

Course outline

This micro-session covers the following topics :-

-GIGO

-Z-score standardization

-Min-max scaling

-Outliers

-Multivariate outlier

-Outlier removal methods

-Nonlinear data transformations

Prerequisite knowledge

Basic Statistical Knowledge

Probability 101

Learning outcomes

This micro-learning session will get the learners equipped with knowledge around how to perform Data Normalization, along with Outlier identification & handling.

Software / Hardware requirements

N/A

Probability 101

3 hours session

Central Tendency Measures, Asymmetrical Distributions & Variability

1 hours session

Descriptive Statistics Fundamentals

1.5 hours session

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