Business Analytics & Data-Driven Decision Making

This course is ideal for professionals across various industries, including:

• Business Analysts & Data Analysts
• Executives, Managers & Decision-Makers
• Finance & Accounting Professionals
• Marketing & Sales Managers
• IT & Data Science Professionals
• Operations & Supply Chain Specialists
• Entrepreneurs & Business Owners

Day 1:Business Analytics Fundamentals

• Introduction to business analytics and big data
• Understanding data sources and types
• Data-driven decision-making frameworks
• Overview of descriptive, predictive, and prescriptive analytics
• Case study: How top organizations use business analytics

Day 2:   Data Collection & Visualization

• Data gathering, cleaning, and preparation
• Exploratory data analysis (EDA) techniques
• Using Excel, Power BI, and Tableau for visualization
• Building interactive dashboards
•  Creating a business performance dashboard

Day 3:Statistical & Predictive Analytics

• Key statistical methods for business analysis
• Regression analysis & trend forecasting
• Introduction to predictive modeling and AI-driven insights
• Customer segmentation and market analysis
• Hands-on case study: Forecasting sales and market demand

Day 4:Advanced Analytics & AI Applications

• Machine learning basics for business applications
• Sentiment analysis and text analytics
• AI-driven business intelligence tools
• Data-driven strategy formulation
• Practical exercise: Applying AI models for business insights

Day 5: Implementing Data-Driven Decision Making

• Integrating analytics into business strategy
• Overcoming data challenges and biases
• Data security, ethics, and compliance
• Real-world case study: Data-driven transformation success stories
• Final project: Applying analytics to a real-world business challenge