
Certificate in Management (Business Analytics) Syllabus Introduction to Business Analytics: Definition and scope of business analytics, Importance of analytics in decision making, Types of business analytics (descriptive, predictive, prescriptive), Business intelligence vs business analytics, Data-driven decision-making process, Role of big data in analytics, Key components of business analytics systems, Overview of business analytics tools and software, Business analytics in different industries, Case studies on the application of business analytics. Data Collection and Management: Sources of business data (internal and external), Types of data: structured and unstructured, Data collection techniques and methods, Data cleaning and preprocessing, Data storage and retrieval systems, Data quality management, Data integration from various sources, Introduction to data warehousing, Data governance and security, Case studies on data management in business analytics. Statistical Methods for Business Analytics: Basic statistical concepts for business analytics, Descriptive statistics: mean, median, mode, Variability and spread: range, variance, standard deviation, Probability distributions in analytics, Inferential statistics: hypothesis testing, Regression analysis and correlation, Time series analysis for business forecasting, Statistical tools and software for analysis, Case studies on applying statistics in business problems. Predictive Analytics and Modeling: Introduction to predictive analytics, Techniques in predictive modeling (linear and logistic regression), Data mining and machine learning
Updated July 6, 2026
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