What will you learn in BI Foundations with SQL, ETL and Data Warehousing Specialization Course
Master SQL for data extraction and transformation in business environments.
Understand the principles of Extract, Transform, Load (ETL) processes and tools.
Build and manage data warehouse systems using best practices.
Analyze business data to generate meaningful insights for decision-making.
Program Overview
Module 1: Introduction to Data Analytics and Business Intelligence
⏱️ 2 weeks
Topics: Overview of BI, analytics lifecycle, KPIs, BI tools
Hands-on: Case-based analysis of BI applications in real businesses
Module 2: Getting Started with SQL for Data Analysis
⏱️ 3 weeks
Topics: SELECT statements, filtering, joins, aggregations
Hands-on: Querying real datasets using SQL on cloud platforms
Module 3: ETL and Data Pipelines with Shell, Airflow, and Kafka
⏱️ 3 weeks
Topics: Scripting basics, ETL concepts, task scheduling with Airflow, data stream with Kafka
Hands-on: Build a working ETL pipeline and deploy automated data workflows
Module 4: Data Warehousing and BI Analytics
⏱️ 3 weeks
Topics: Star and snowflake schemas, OLAP, data marts, data governance
Hands-on: Design and populate a mini data warehouse and run analytics
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Job Outlook
High demand for BI Analysts and Data Engineers skilled in SQL and data warehousing.
Business Intelligence market is projected to grow at 8–10% CAGR through 2030.
Roles pay $70,000–$120,000 annually depending on specialization and experience.
Valuable for roles like BI Developer, Data Warehouse Analyst, or ETL Developer.
Specification: BI Foundations with SQL, ETL and Data Warehousing Specialization
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