Python Foundation

This course provides a comprehensive introduction to statistical analysis with a strong focus on its practical applications in data science. Students will learn how to apply statistical techniques to analyze, interpret, and draw conclusions from real-world datasets. The course emphasizes both theoretical understanding and hands-on experience with statistical tools commonly used in the industry, including descriptive and inferential statistics, hypothesis testing, correlation, regression analysis, and probability distributions. By the end of the course, students will be able to apply statistical reasoning to support data-driven decisions and build a solid foundation for more advanced topics in machine learning and predictive analytics.