“ Learning of Unstructured data, artificial intelligence, and machine learning are fast becoming business requirements.”
• Understanding data types and structures • Data collection and organization • Data quality and cleansing
• Descriptive analytics • Predictive modeling • Prescriptive analytics
• Effective data visualization • Interactive dashboards • Storytelling with data
• Introduction to BI platforms (e.g., Power BI, Tableau, Qlik Sense ) • Data integration & ETL • Advanced data analysis & reporting
• Aligning data strategy with business objectives • Interpreting insights & making informed decision • Communicating findings to stakeholders
• Establishing data policies and standards • Ensuring data privacy and security • Ethical considerations in data usage
• Applying agile principles to BI projects •Rapid prototyping and iterative development • Continuous improvement and optimization
• Building a data-driven mindset • Effective communication and collaboration • Leveraging BI in various sectors (e.g., finance, healthcare, retail) • Case studies and best practices - Emerging trends and technologies
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