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# Descriptive Statistics And Test Of Hypothesis By Spotle

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## 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

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

Udemy ID

## 1/10/2021

Course created date

## 1/14/2021

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