This course provides a comprehensive exploration of how statistical methods and data analytics drive decision-making in modern telecommunications. Designed for students and professionals with basic knowledge of telecom or data analysis, it bridges statistical theory with practical applications to optimize networks, enhance customer insights, and improve operational efficiency. Master foundational to advanced statistical concepts, and apply them to real-world telecom challenges. Through hands-on projects, explore data types, central tendency, variability, probability distributions (normal, binomial, Poisson), Bayes’ theorem, and inferential methods including hypothesis testing using tools like Python and Excel. Dive into regression analysis and gain hands-on experience in interpreting telecom datasets, mitigating biases, and communicating data-driven insights effectively. By the end of the course, you will be equipped to harness statistical analytics for smarter telecom strategies.