The "Advanced Data Analytics" course is designed to provide aspiring PhD students with a comprehensive understanding of cutting-edge techniques in the field of data analysis. Through a blend of theoretical concepts and hands-on practical exercises, students will delve into various domains of data mining and analytics. The course begins with an exploration of classical data mining approaches, covering topics such as graph analysis, text mining, image processing, and regression analysis. Students will then learn the fundamentals of distributed processing using industry-leading platforms like MapReduce, Hadoop, and Spark. The curriculum further delves into the exciting realm of deep learning. Students will also engage with the intriguing domains of federated learning and edge intelligence. The course will address the critical aspect of trustworthy AI, equipping students with knowledge about both potential attacks and defense mechanisms.