Statistics for Data Science with Python

By the end of this course, learners will be able to summarize datasets using descriptive statistics, visualize distributions with Python, evaluate probabilities, test hypotheses, and build regression models for predictive analysis. This hands-on training equips learners with the ability to apply statistical thinking to real-world data science projects, ensuring they can analyze, interpret, and present data effectively. The course begins with the foundations of data science and descriptive statistics, covering measures of central tendency, dispersion, correlation, and visualizations using hist…