APM21: Data Science 1 Bridging Module

Topics covered: • Data Science concepts and fundamentals; Methodologies and Frameworks • R-Language Programming and R package-based Data Analysis • SQL and NoSQL-based Data Science • Regression Modelling and other Inferential Schemes • Clustering and Segmentation Schemes • Machine Learning Techniques • Data Acquisition and Cleansing Techniques • Multivariate Exploratory Data Analysis • Python-Language-based Data Analysis • Data Visualization and Visual Analytics • Advanced Data Modelling Techniques Duration: The course features both offline and online, instructor-led, weekly synchronous online sessions (2 hours per session), over an 8-week period. Successful completion gives 3 credit hours towards the Associate-to-Professional Member (A2PM) bridging program.