Global Certificate in Streaming Analytics for Retail

• Fundamentals of Streaming Analytics: Introduction to streaming analytics, real-time data processing, data streaming architectures, and streaming data management.
• Data Acquisition and Preprocessing: Data ingestion methods, data cleansing, data transformation, and data enrichment in streaming analytics.
• Real-Time Data Visualization: Real-time data visualization techniques, dashboard design, and data storytelling.
• Machine Learning in Streaming Analytics: Overview of machine learning, supervised and unsupervised learning, and model training in streaming analytics.
• Streaming Analytics Applications: Real-world applications of streaming analytics in retail, including demand forecasting, inventory management, and customer behavior analysis.
• Data Security and Privacy: Data encryption, access control, and compliance with data protection regulations in streaming analytics.
• Ethical Considerations and Bias Mitigation: Ethical issues in streaming analytics, including data bias, fairness, and transparency.
• Scalability and Performance Optimization: Scaling streaming analytics pipelines, performance optimization techniques, and best practices.
• Emerging Trends in Streaming Analytics: Latest developments in streaming analytics, including artificial intelligence, natural language processing, and blockchain technology.