DATA SCIENCE FOR BUSINESS DECISION MAKING

Objective:

• Understand the impact of data science and artificial intelligence on business decision-making
• Apply data analysis and machine learning techniques to optimize business processes
• Develop predictive models to support strategic planning and organizational performance
• Use data visualization techniques to communicate insights effectively and support decision-making
• Identify business opportunities and drive innovation through the strategic use of data

Content:

Foundations of Business Analytics

• Introduction to data science and business analytics
• Understanding the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework
• Building a data-driven organizational culture
• Understanding the business value of data and AI

Data Analysis and Predictive Modeling

• Descriptive, predictive, and prescriptive analytics
• Applying statistical analysis, sampling, and confidence intervals
• Understanding supervised and unsupervised machine learning techniques
• Using simulation and optimization methods to improve decision-making

Business Applications of Data Science and AI

• Marketing analytics, customer segmentation, and campaign optimization
• Customer churn prediction and customer insights
• Demand forecasting, inventory management, and supply chain optimization
• Fraud detection, credit scoring, and financial risk management

Data Strategy and AI Integration

• Developing data and analytics roadmaps
• Managing data structures and business data assets
• Integrating artificial intelligence and data science into business processes
• Supporting digital transformation through data-driven strategies

Data Visualization and Business Communication

• Applying data storytelling techniques
• Creating actionable business insights
• Communicating analytical findings effectively
• Designing impactful reports and dashboards

Business Analytics Technologies and Tools

• Programming with Python and R for data analysis
• Working with Excel and SQL for business analytics
• Creating dashboards using Tableau and Microsoft Power BI
• Exploring AI platforms and modern analytics tools

For Whom:

• Business Managers and Executives
• Business Analysts and Data Analysts
• Operations, Marketing, and Finance Professionals
• Digital Transformation and Innovation Leaders
• Project Managers and Decision-Makers
• Professionals seeking to develop data-driven decision-making and AI implementation skills