
• Introduction to data analytics and visualization
• Data cleaning and preparation
• Data exploration and statistical analysis
• Data storytelling and effective communication
• Financial statement analysis: Income statement, balance sheet, and cash flow statement
• Ratio analysis and financial metrics
• Trend analysis and forecasting
• Variance analysis and performance measurement
• Principles of effective data visualization
• Choosing the right chart types
• Creating interactive dashboards with popular tools (e.g., Power BI, Tableau)
• Customizing dashboards for different audiences
• Predictive analytics and forecasting models
• Machine learning for financial analysis
• Text analytics and sentiment analysis
• Data mining and data discovery
• Real-world case studies of data-driven decision-making
• Hands-on exercises to create financial dashboards and analyze data
• Group projects to apply learned techniques to real-world scenarios
• Q&A session and discussion of future trends in financial analytics