06 - Descriptive Statistics in Python | Data Analysis Tutorial in Python
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In this video, we cover the main functions and most commonly used methods for data analysis and descriptive statistics in Python.
00:00 Introduction
00:45 Data Exploration
02:17 Basic Statistical Summary
05:40 Outlier Handling (IQR)
09:15 Measures of Dispersion
11:05 Correlation
12:45 Scatter Plot
13:13 Review with a New Dataset
15:40 Closing and Next Steps
🚀 Featured Content:
Importing and Exporting .csv Files
Basic Data Exploration in Python
Analysis of Dispersion Metrics
Creating Box Plots and Scatter Plots
GitHub Repo with Jupyter Notebooks from the Tutorial
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Link to the Kaggle Dataset Used in the Video
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