📊 Statistical Data Methods in Data Science | Beginner-Friendly Guide

Описание: Statistics is a fundamental pillar of Data Science. It enables professionals to collect, organize, analyze, and interpret data to make informed decisions. In this video, you’ll explore the key statistical methods that Data Analysts and Data Scientists use to identify patterns, generate insights, and build predictive models.

This session clearly explains each concept in a practical, simple, and easy-to-follow manner — perfect for beginners who want a strong foundation.

🔎 What You’ll Learn:

✔ Introduction to Statistical Data Methods
✔ Descriptive Statistics – mean, median, mode, variance, and standard deviation
✔ Inferential Statistics – hypothesis testing and confidence intervals
✔ Basics of Probability for Data Science
✔ Sampling techniques and data distribution
✔ Correlation and regression analysis
✔ Real-world applications in Data Science
✔ The role of statistics in data-driven decision-making

🎯 Why This Matters:

Statistics is the backbone of Machine Learning, Data Analysis, forecasting, A/B testing, and many real-world business applications. Mastering these core concepts will help you extract meaningful insights from data and enhance the accuracy of your analytical models.

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