Lecture 6 - Measures of Central Tendency in Statistics | Complete Theory + Python Implementation

Lecture 6 - Measures of central Tendency in Statistics |Complete Theory + Python Implementation

In this lecture, we’ll explore one of the most fundamental concepts in statistics — Measures of Central Tendency. You’ll learn what Mean, Median, and Mode are, how to calculate them, and where they’re used in real life.

We’ll also implement these measures in Python using the statistics module for a practical understanding.

📚 Topics Covered:

1) What are Measures of Central Tendency?

2) Mean (Arithmetic Average) — Formula & Example

3) Median — How to find it (even & odd cases)

4) Mode — Unimodal, Bimodal & Multimodal examples

5) Applications in Real Life (Education, Business, Economics, Healthcare, etc.)

6) Python Implementation using the statistics module

🧠 Materials Used in this Lecture:
https://drive.google.com/file/d/1B5p9sFHi3hbjGIrNVEuDCglfj-dpTQ7G/view?usp=sharing

💻 Code used in this lecture:
https://github.com/PVSaketh2003/statistics_course

💬 Connect With Me

📧 Email: pvsaketh1@gmail.com

🔗 LinkedIn: linkedin.com/in/data-king-with-saketh-79a272388

🎯 About the Course:

This course — Statistics and Probability for Data Science (2025) — is designed to build a strong foundation in statistical concepts essential for data analysis, research, and machine learning.

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Видео Lecture 6 - Measures of Central Tendency in Statistics | Complete Theory + Python Implementation канала Data King with Saketh