By completing this module, you will:

•  Understand the importance of visualizing data in business analysis
• Apply Excel tools to model data and choose suitable visual representations
• Build and use Python functions to write modular and reusable code
• Create dashboards and reports using Excel and Power BI features
• Use data visualization to extract insights that guide decision-making
• Prepare and analyze data for meaningful reporting and forecasting
• Work with spreadsheets, formulas, cell referencing, and pivot tables
• Demonstrate fluency with Power BI to manage and present data effectively

By completing this module, you will:

•  Understand the role of EDA, data mining, and database handling in analytics
• Apply preprocessing techniques to clean, correct, and prepare data efficiently
• Manage both numerical and text-based data for high-quality analysis
• Use NumPy, Pandas, and Matplotlib for structured data exploration
• Gain hands-on experience with scikit-learn for clustering and classification
• Detect patterns in datasets using scalable data mining methods
• Build foundational skills for real-world business analytics projects

By completing this module, you will:

• Understand key AI concepts and the structure of ML systems
• Explore supervised and unsupervised learning algorithms
• Prepare and process data for training machine learning models
• Evaluate models using standard performance metrics
• Implement core ML algorithms like regression, decision trees, and random forest
• Demonstrate a clear understanding of the mathematics behind ML decisions
• Work on an industry-based ML project for practical exposure

By completing this specialization, you will:

• Understand the principles of operations management and how AI enhances process optimization
• Explore AI applications in quality control, maintenance, and workflow automation
• Analyze global and regional strategies for operations in a digital-first environment
• Implement operational strategies using real-world case studies and AI-driven models
• Develop a comprehensive view of strategic, business, and corporate-level planning

By completing this specialization, you will:

• Understand how AI is reshaping international HR practices across global organizations
• Explore the use of AI in talent acquisition, diversity, inclusion, and engagement strategies
• Analyze the ethical, legal, and cultural challenges of AI implementation in HR
• Develop strategic AI-enabled HRD plans to manage a culturally diverse workforce
• Apply theories of organizational change and learning to global HR contexts
• Evaluate HRD initiatives and their outcomes in multinational environments through case studies

Over the course of this capstone, you will:

• Identify and formulate a real-world business problem suitable for data-driven analysis
• Gather, clean, and preprocess data to ensure quality and relevance
• Conduct exploratory data analysis (EDA) to uncover trends, outliers, and insights
• Build effective data visualizations to support decision-making
• Apply machine learning algorithms for prediction, classification, or recommendation
• Evaluate the model’s performance and the impact of the solution
• Communicate findings and solutions to technical and non-technical audiences with clarity