This course covers the fundamentals of Data Sciences. Topics include types of data (statistical, structured, and unstructured); Data Manipulation Techniques (transformation, formatting&structuring), Data Analysis with Statistics and Machine Learning; Deep Learning for Data Science; Data Communication with Information Visualization; Big Data for Data Science and its challenges, Automated Data-Driven Decisions, Data Governance (privacy, ethics, and legal issues). Weekly labs to provide students with hands-on experience with Data Sciences Tools.