COURSE OVERVIEW

 This course is designed to provide participants with a detailed and up-to-date overview of Certificate in Advanced Data Analysis. It covers the definition and scope of data analysis, role in business decision-making and research; the differences between descriptive, diagnostic, predictive and prescriptive analytics and applications across industries; the data lifecycle and management, statistical foundations for data analysis, exploratory data analysis (EDA) and tools for advanced data analysis; the regression analysis, multivariate analysis, time series analysis, survival and event analysis and non-parametric methods; and the machine learning for data analysis, classification techniques, regression-based ML models and neural networks and deep learning basics. During this interactive course, participants will learn the model deployment and validation, advanced data visualization techniques and communicating data insights; the big data concepts and tools, text analytics and natural language processing (NLP) and data ethics and governance; the strategic use of data analytics, industry applications of advanced data analysis and emerging trends in data analytics; and building the analytics capability in organizations covering setting up analytics centers of excellence (CoE), recruiting and upskilling data teams, embedding analytics into workflows and change management for data-driven culture.