Module 1: Introduction to Advanced Data Analytics

• 1.1 Overview of Data Analytics
• Evolution of data analytics
• Types of analytics: Descriptive, Diagnostic, Predictive, and Prescriptive
• Applications of advanced analytics in various industries
• 1.2 Data Analytics Lifecycle
• Problem definition
• Data collection and preparation
• Model building and validation
• Deployment and monitoring
• 1.3 Tools and Technologies
• Overview of tools: Python, R, SQL, Tableau, Power BI, Spark, etc.
• Introduction to cloud platforms: AWS, Google Cloud, Azure