Business Intelligence Analyst

Description

Module 1: Introduction to Business Intelligence

• What is Business Intelligence (BI)?

• Evolution of BI and its role in business strategy

• Key responsibilities of a BI Analyst

• BI lifecycle and process flow

• Tools overview: Power BI, Tableau, Looker, Excel, SQL, Python

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🔹 Module 2: Data Fundamentals

• Data types and structures

• Relational databases and data warehousing

• Data sources: internal vs external

• ETL process (Extract, Transform, Load)

• Data quality and data governance basics

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🔹 Module 3: SQL for Business Intelligence

• SQL fundamentals (SELECT, WHERE, JOIN, GROUP BY, HAVING)

• Subqueries and CTEs

• Window functions and aggregations

• Data cleaning with SQL

• Real-world query case studies for dashboards

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🔹 Module 4: Data Visualization and Reporting

• Principles of effective data visualization

• Charts: bar, line, pie, scatter, heatmaps, maps

• Dashboards vs. reports

• Power BI/Tableau hands-on:

  • Building interactive dashboards

  • Filters, slicers, and drill-downs

  • Publishing and sharing reports

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🔹 Module 5: Excel for BI Analysts

• Advanced Excel functions: VLOOKUP, INDEX/MATCH, IFs, pivot tables

• Data visualization with Excel charts

• Power Query and Power Pivot

• Using Excel for business modeling

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🔹 Module 6: Python for Data Analysis (Optional)

• Intro to Python and Jupyter Notebook

• Data handling with pandas

• Data visualization with matplotlib and seaborn

• Connecting Python with BI tools (e.g., Power BI or Tableau)

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🔹 Module 7: Business and Industry Knowledge

• Understanding business metrics: KPIs, ROIs, NPS, CAC, LTV

• Sales, marketing, finance, and operations data analysis

• Case study: BI use in e-commerce, finance, healthcare, or retail

• Decision-making with data insights

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🔹 Module 8: Data Warehousing & Cloud BI

• Data warehouse concepts (star schema, snowflake schema)

• OLAP vs OLTP

• Cloud data platforms: Google BigQuery, Amazon Redshift, Azure Synapse

• BI in the cloud: real-time dashboards and data streaming

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🔹 Module 9: BI Tools in Practice

• Power BI deep dive: DAX, data modeling, publishing reports

• Tableau advanced: LOD expressions, dashboard actions

• Google Looker Studio: building reports and using connectors

• Choosing the right BI tool for your organization

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🔹 Module 10: Business Intelligence Strategy

• Data storytelling and presentation skills

• Data-driven decision making

• Stakeholder communication

• BI project planning and execution

• Ethical data use and privacy compliance (GDPR, HIPAA)

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🎓 Capstone Project

• Real-world BI analysis project:

  • Identify business problem

  • Source, clean, and analyze data

  • Build a dashboard

  • Present findings and recommendations

• Peer and instructor feedback

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🏅 Optional Certifications & Add-Ons

• Microsoft Power BI Data Analyst Certification (PL-300)

• Tableau Desktop Specialist

• Google Data Analytics Certificate

• IBM Data Analyst Professional Certificate

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🎯 Ideal For:

• Aspiring Business Intelligence Analysts

• Data Analysts and Reporting Specialists

• Marketing, Sales, and Operations professionals

• Professionals transitioning into analytics roles