Statistics for Data Science & Analytics

This course equips you with essential statistical skills for data analysis in data science. You’ll master key concepts such as probability, descriptive and inferential statistics, and statistical inference techniques, including estimation and hypothesis testing. You'll learn to summarize data, analyze distributions, and visualize data effectively to uncover insights. The course also covers the role of statistics in data science and various data types, enabling you to make data-driven decisions and predictions.Through hands-on projects, you’ll apply statistical techniques to real-world data scenarios, such as analyzing call center efficiency, student performance, and customer purchase behavior. You’ll use probability distributions, hypothesis testing, and data visualization to extract actionable insights and drive improvements. By completing this course, you’ll be ready to apply statistical methods to solve complex data problems, optimize operations, and contribute to data-driven decision-making in any organization.