A Business Intelligence (BI) Certified Course is designed to equip learners with the knowledge and skills required to analyze business data, generate actionable insights, and support data-driven decision-making. This program covers the fundamentals of BI concepts, tools, and techniques including data visualization, reporting, dashboards, and predictive analytics. Participants will gain hands-on experience with leading BI platforms such as Power BI, Tableau, and SQL, enabling them to transform raw data into meaningful reports and visual stories. By completing this course, professionals become proficient in identifying business trends, optimizing processes, and supporting strategic growth through intelligent data insights, making them highly valuable assets in today’s data-driven industries.
Module 1: Introduction to Business Intelligence Overview of BI and its importance in organizations BI lifecycle: Data collection, analysis, and reporting Key concepts: KPIs, metrics, dashboards, and reporting Understanding business problems and data-driven decision-making.
Module 2: Data Fundamentals Types of data: Structured, unstructured, semi-structured Data sources and data acquisition Data cleaning, transformation, and preparation Introduction to databases and data warehousing.
Module 3: SQL for Business Intelligence Basics of SQL: SELECT, INSERT, UPDATE, DELETE Joins, subqueries, and aggregations Advanced SQL functions for data analysis Hands-on practice on real datasets.
Module 4: Excel for BI Advanced Excel functions: VLOOKUP, HLOOKUP, INDEX-MATCH Pivot tables and pivot charts Conditional formatting and dashboards Data analysis and visualization techniques.
Module 5: Data Visualization Tools Introduction to Power BI and Tableau Creating interactive dashboards and reports Charts, graphs, and KPI visualizations Best practices for storytelling with data.
Module 6: ETL and Data Warehousing Overview of ETL (Extract, Transform, Load) processes Tools: Talen, Informatic, SSIS Data warehousing concepts and architecture Data integration and automation.
Module 7: Advanced Analytics for BI Predictive analytics basics Introduction to R/Python for analytics Forecasting, trend analysis, and data modeling Scenario and what-if analysis.
Module 8: BI Reporting & Dashboard Design Designing user-friendly dashboards Real-time reporting techniques Custom visualizations for business insights Performance monitoring and reporting standards.
Module 9: Business Acumen & Decision Support Understanding business processes and KPIs Translating data insights into actionable strategies Case studies from finance, retail, healthcare, and IT Communication of insights to stakeholders.
Module 10: Capstone Project / Industry Case Study Hands-on project using Power BI/Tableau and SQL End-to-end BI project: Data extraction → Analysis → Visualization → Reporting Presentation and interpretation of insights Exposure to real-world business scenarios.
Mobile: 9100348679
Email: coursedivine@gmail.com
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