Data Analysis & Exploratory Data Analysis Using Python
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Data Analysis & Exploratory Data Analysis Using Python
Original price was: $59.99.$10.00Current price is: $10.00.
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Data Analysis & Exploratory Data Analysis Using Python
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$59.99
in stock
Udemy.com
as of July 25, 2025 2:10 pm
Parametric & Non Parametric Hypothesis Tests | Build EDA App with Streamlit | EDA Libraries | Data Visualization
Created by:
SeaportAi .
Artificial Intelligence and Business Transformation Experts
Artificial Intelligence and Business Transformation Experts
Rating:4.6 (372reviews)
18163students enrolled
What Will I 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
Requirements
- Basic Knowledge of Python
Target audience
- Data Scientists
- Beginners in Machine Learning
- Data Analysts
- Python Programmers
- ML Practitioners
- IT Managers managing data science projects
- Business Analysts
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