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Topics

What you will learn

☑ Measuring Central Tendency

☑ Measuring Skewness And Kurtosis

☑ Data Visualization

☑ Missing Data

☑ Test Of Hypothesis

☑ Normality Test

☑ Contingency Table

☑ Chi square Test

Description

In this Spotle masterclass you will learn:

Basic statics - measuring central tendency, skewness and kurtosis

Data visualization using Python

Missing data imputation

The concepts of statistical estimation, test of hypothesis, normality test, contingency table Chi square test explained through detailed videos

To conduct statistical tests with real-life examples

All concepts through exercises, solved problems

Your take-aways:

A solid foundation in statistical decision making to build a data science career.

Content

Basic Statistics

Measuring Central Tendency

Measuring Skewness And Kurtosis

Data Visualization In Python

Basic Statistics And Data Visualization Using Python

Missing Data Imputation

Missing Data Imputation - Part 1

Missing Data Imputation - Part 2

Statistical Inference - Estimation

Statistical Estimation

Test Of Hypothesis

Test Of Hypothesis

Normality Test

The Basics Of Normality Test

Test Of Normality - Part 2

Test Of Normality - Part 3

Cross Tabulation And Chi Square Test

Contingency Table - Part 1

Contingency Table - Part 2

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