Python for Data Science - Exploratory Data Analysis and Descriptive Data Analysis

Описание: Title: Python for Data Science - Exploratory Data Analysis and Descriptive Statistics

Description:

Welcome to this comprehensive tutorial on Exploratory Data Analysis (EDA) and Descriptive Statistics using Python! Whether you're a beginner in data science or looking to strengthen your foundation, this video will guide you through the key concepts and practical techniques essential for understanding and summarizing data.

In this video, you will learn:

✅ What is Exploratory Data Analysis (EDA)?
✅ Why EDA is crucial in data science projects
✅ Key statistical measures: Mean, Median, Mode, Standard Deviation, Variance, and Range
✅ How to handle missing values and detect outliers
✅ Data visualization techniques using Matplotlib and Seaborn
✅ Step-by-step coding examples using Pandas and NumPy

Tools Used:
Python 3
Jupyter Notebook
Pandas
NumPy
Matplotlib
Seaborn

Chapters:
0:00 Introduction
1:30 What is EDA?
3:20 Loading Data with Pandas
6:00 Summary Statistics
10:45 Data Cleaning Basics
15:00 Visualizing Data Distributions
20:30 Boxplots and Outlier Detection
30:00 Recap & Next Steps

Perfect for:
Data Science Beginners
Students learning Python for data analysis
Anyone preparing for data science interviews

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