Business Intelligence Certified Course

 Course Description:

Here’s  Business Intelligence  detailed overview of a comprehensiveCertified Course syllabus, combining top-tier curriculum elements from recognized programs like Google’s BI Professional Certificate, CFI’s BIDA®, and Edureka’s BI Masters. This structure ensures you develop end-to-end BI expertise—from core concepts to advanced tools and analytics.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Business Intelligence:

• Business Intelligence Analyst
• Data Analyst
• BI Developer
• Data Scientist
• Business Analyst
• Data Engineer
• Reporting Analyst
• Market Research Analyst

Essential Skills you will Develop Business Intelligence:

• Analytical Thinking
• Data Visualization
• Data Modeling & Management
• Technical Tools & Platforms
• Business Acumen

Tools Covered:

• Power BI 
• Tableau 
• Qlik Sense 

Syllabus:

Module 1: Introduction to Business Intelligence Overview of Business Intelligence (BI) Importance and benefits of BI in organizations BI vs Data Analytics vs Data Science Key BI concepts and terminology BI architecture and components
Types of BI systems (Operational, Analytical, Strategic).

Module 2: Data Warehousing Concepts Introduction to Data Warehousing Data Warehouse vs Database ETL (Extract, Transform, Load) process Data modeling techniques (Star Schema, Snowflake Schema) Fact and dimension tables OLAP vs OLTP systems.

Module 3: Data Integration and ETL Tools Understanding data sources and data extraction Data transformation techniques Data loading and data quality management Overview of popular ETL tools (Informatica, Talend, SSIS) Building ETL pipelines and workflows.

Module 4: Data Modeling and Database Design Relational database basics Dimensional modeling concepts Designing fact and dimension tables Slowly Changing Dimensions (SCD) Indexing and partitioning strategies.

Module 5: Business Intelligence Tools Overview Introduction to BI tools and platforms Microsoft Power BI overview and capabilities Tableau basics and visualization features QlikView/Qlik Sense introduction Other BI tools overview.

Module 6: Data Visualization Techniques Principles of effective data visualization
Types of charts and graphs Designing dashboards and reports Storytelling with data
Best practices for visualization design.

Module 7: Advanced Analytics and Reporting Ad hoc reporting and query design
KPI and metric definition Advanced calculations and measures Predictive analytics basics in BI Integrating R/Python with BI tools.

Module 8: Implementing Business Intelligence Solutions BI project lifecycle and methodology Requirements gathering and analysis Data governance and security in BI Deployment and maintenance of BI solutions Change management and user adoption strategies.

Module 9: Cloud BI and Big Data Integration Cloud-based BI solutions (AWS, Azure, Google Cloud) Introduction to Big Data concepts Integrating BI with Hadoop and Spark ecosystems Real-time data processing in BI Trends in BI and future directions.

Module 10: Hands-on Project and Case Studies End-to-end BI project execution
Building a data warehouse and dashboards Case studies from various industries (Retail, Finance, Healthcare) Presenting BI insights and reports Course recap and certification exam preparation.

Industry Projects:

• Sales Performance Dashboard
• Customer Segmentation for a Retail Chain
• Financial Analytics for a Bank
• Inventory Management Analysis
• HR Analytics – Employee Attrition

Who is this program for?

• Fresh Graduates & Students
• Working Professionals
• Managers & Team Leads
• Entrepreneurs & Business Owners
• Non-Technical Professionals

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com