Data Analysis & Exploratory Data Analysis Using Python

Parametric & Non Parametric Hypothesis Tests | Build EDA App with Streamlit | EDA Libraries | Data Visualization
4.61 (387 reviews)
Udemy
platform
English
language
Other
category
SeaportAi .
instructor
Data Analysis & Exploratory Data Analysis Using Python
18 341
students
5 hours
content
Nov 2024
last update
$15.99
regular price

What you will learn

What are the four types of data analysis?

What is the difference between data analysis and exploratory data analysis

How to identify the critical factor in your data

How to identify outliers

What is descriptive statistics

How to identify relationship between variables

What is multi collinearity

What is EDA

Why EDA is needed

How to transform data

Central Tendency Vs Dispersion

How to handle missing values in your dataset

How to apply EDA (through an assignment)

How to derive maximum value for your data

What are non parametric hypothesis tests

ANOVA

Mann Whitney Test

Kruskal Wallis Test

Moods Median Test

t-Test

Why do we need geometric and harmonic means

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3466676
udemy ID
01/09/2020
course created date
20/10/2020
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