The course covers a wide range of advanced topics in data science. You’ll explore advanced statistical techniques, including multivariate analysis and Bayesian methods, and get hands-on experience with machine learning algorithms, such as ensemble methods, deep learning (CNNs, RNNs), and reinforcement learning. You’ll also dive into Natural Language Processing (NLP), applying techniques like BERT and GPT for text generation and classification. Furthermore, you will work with big data tools like Hadoop and Spark, and learn how to handle large datasets efficiently. Data visualization tools like Plotly and Seaborn will be used to help you present your findings visually.