Advanced Statistics

This course delves into the intricate world of advanced statistics, seamlessly integrating machine learning, artificial intelligence (AI), and programming to equip students with the skills needed for modern data analysis. Students explore sophisticated statistical methods, with a focus on statistical learning, and they learn how to implement these techniques using the programming language Python. The course covers the fundamentals of machine learning, from supervised and unsupervised learning to neural networks, providing students with a solid foundation in AI principles and practices. Through hands-on projects and case studies, participants apply statistical models to real-world data sets, gaining proficiency in data manipulation, visualization, and interpretation. Programming sessions focus on writing efficient code, using statistical libraries, and developing algorithms to solve complex problems in various domains. By the end of the course, students are well-equipped to tackle advanced statistical problems, develop machine learning models, and contribute to AI research and development with strong programming skills.