Infrential Statistics 11 AM Batch Intro, Population & Sampling Concept Training : Session 8 скачать в хорошем качестве

Infrential Statistics 11 AM Batch Intro, Population & Sampling Concept Training : Session 8

Introduction to Population & Sampling | Inferential Statistics | Data Science with AI In this video, we introduce the fundamental concepts of Population and Sampling in Inferential Statistics, which form the backbone of Data Science and AI. Understanding how samples represent populations is crucial for making accurate predictions, building machine learning models, and drawing meaningful conclusions from data. 🔹 What you’ll learn in this video: ✔ What is a Population? ✔ What is a Sample? ✔ Difference between Population & Sample ✔ Why Sampling is important in Data Science ✔ Types of Sampling Methods (Random, Stratified, Systematic) ✔ Real-world examples in business and AI Inferential Statistics helps us make data-driven decisions using limited data. These concepts are widely applied in: 📊 Data Analysis & Research 📈 Business Forecasting 🤖 Machine Learning Models 🧠 AI-based Decision Systems We explain the concepts with simple examples so beginners can clearly understand how statistical thinking is applied in real-world projects using tools like Python. This session is perfect for: 🎓 Data Science students 📊 Analytics learners 💼 Working Professionals 🚀 Aspiring AI Engineers If you want to build a strong foundation in Statistics for Data Science and AI, this session is a must-watch. 📌 Like, Share & Subscribe for more Data Science, AI & Statistics tutorials. #InferentialStatistics #DataScience #Population #Sampling #AI #MachineLearning #Statistics