Statistics for Data Science (Part 1) | Learn Descriptive Statistics with Python

Statistics for Data Science (Part 1) | Learn Descriptive Statistics with Python

Welcome to Part 1 of the "Statistics for Data Science" series!
In this video, we dive into the fundamentals of descriptive statistics—a crucial step in understanding and summarizing data before diving into deeper analysis or machine learning.
If you're a beginner in data science, this is your go-to guide to learn how statistics is applied using Python and pandas in real-world scenarios.

✅ What You’ll Learn in This Video:
What is Descriptive Statistics and why it's important

Understanding Measures of Central Tendency (Mean, Median, Mode)

Exploring Measures of Dispersion (Range, Variance, Standard Deviation)

How to calculate these statistics using Python and pandas

Visualizing data distribution for better insights

Hands-on walkthrough with a real dataset in Jupyter Notebook

🧠 Who This Video Is For:
Data Science and Machine Learning Beginners

Python Learners looking to apply statistics

Students preparing for data interviews or projects

Anyone curious about how data is summarized and analyzed

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