Key Concepts in Statistics for Data Science
- Descriptive Statistics 🔍
- Probability Theory 🎲
- Statistical Inference 📈
- Regression Analysis 📊
- Hypothesis Testing 🧪
Why is Statistics Important in Data Science?
Statistics provide the foundation for any data science operation. Here are some reasons why:
- It helps in data collection, analysis, interpretation, and presentation.
- Statistical models help extract insights and make predictions.
- It holds the key to making data-driven decisions.