Data Analysis & Exploratory Data Analysis Using Python
Parametric & Non Parametric Hypothesis Tests | Build EDA App with Streamlit | EDA Libraries | Data Visualization
4.57 (373 reviews)
18,187
students
5 hours
content
Nov 2024
last update
$59.99
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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Related Topics
3466676
udemy ID
9/1/2020
course created date
10/20/2020
course indexed date
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