This course bridges mathematics and data science, focusing on statistical methods essential for data analysis. Key topics include:

  • Probability Distributions 📊
    Learn about normal, binomial, and Poisson distributions with real-world applications.

  • Hypothesis Testing 🔍
    Understand how to validate theories using statistical evidence.

  • Regression Analysis 📈
    Explore linear and logistic regression for predictive modeling.

  • Data Visualization 🎨
    Use tools like Matplotlib and Seaborn to present data insights effectively.

For deeper exploration, check our Data Science Fundamentals course.

Data Science Statistics

Expand your knowledge with Statistical Methods in AI or Machine Learning Concepts.