Programme Content
Get Started with Professional Certificate Course in AI-Powered Data Analytics
This foundational course provides an in-depth understanding of the data lifecycle from generation to consumption with a focus on production-grade ETL pipelines. It highlights the collaboration between analytics and engineering teams and explores various data types and their treatment.
This course combines advanced Excel analytics with Microsoft 365 Copilot to deliver AI-enhanced business insights. It teaches prompt engineering for natural language queries and leverages Excel’s forecasting and scenario analysis tools to automate business storytelling.
This course helps learners gain expertise in core and advanced SQL concepts, including database structures, AI-assisted query development, and optimization. It emphasizes practical skills for managing business data and solving real-world analytical challenges.
This course helps develop skills in Python programming for data analysis, statistical computing, and visualization using libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn to derive actionable business insights. Learners also explore data preparation, exploratory analysis, and hypothesis testing for evidence-based decision-making.
This course focuses on building interactive, production-ready dashboards in Power BI, integrating data modeling, DAX analytics, and Smart Narratives for automated insights and impactful business storytelling.
Covers machine learning fundamentals and application including model building, evaluation, and deployment using regression and classification algorithms.
This course focuses on automating data analytics workflows using low-code and AI-assisted tools such as Zapier, n8n, and make.
Azure AI fundamentals (AI-900) via Microsoft Learn and Cognitive services, ML Studio, and responsible AI principles
This course explores the integration of analytics systems with cloud-based AI tools such as Google Gemini, Google Analytics 4, and RowsAI. Learners gain hands-on experience automating reporting, managing cross-platform data pipelines, and leveraging APIs to deliver AI-powered insights and optimize workflows.
This course introduces autonomous AI agents for analytics, using frameworks such as LangChain and CrewAI to enable multi-turn decision-making and intelligent tool execution.
This course covers ethical principles, fairness metrics, data governance, and accountability frameworks in AI analytics. It aims to provide hands-on exposure to bias detection, fairness auditing tools, and ethical model evaluation techniques.
Learners implement a comprehensive analytics project utilizing AI integration, dashboarding, and storytelling to demonstrate mastery of program concepts.
This elective builds advanced Tableau expertise to create compelling data stories and high-impact BI dashboards. You will learn to design interactive dashboards, apply effective storytelling techniques, manage diverse data sources, perform visual analytics, and customize visuals for clear, powerful insights.
Azure core services: Compute, storage, and networking and Data Analytics services overview along with Foundation for cloud-based analytics career paths
Learn Latest trends in generative AI and agentic AIalong with Real-world deployments and emerging use cases
Cutting-edge research and academic perspectives on AI + data
