Principles to Data Science Mathematics for Data Science Programming for Data Science Statistical Analysis and Probability Data Wrangling and Preprocessing Database Systems and SQL Data Visualization and Storytelling Machine Learning Fundamentals Deep Learning and Neural Networks Big Data Technologies (Hadoop and Spark) |
Natural Language Processing (NLP) Computer Vision and Image Processing AI Ethics and Responsible AI Time Series Analysis Reinforcement Learning Cloud Computing for Data Science and AI AI Strategy and Applications in Business Capstone Project in Data Science and AI Data Security and Privacy Emerging Trends in Artificial Intelligence |