Data Engineering - Course Curriculum
Master the modern data stack with our comprehensive 8-module program
MODULE 1
Python & Advanced SQL
What You'll Learn
- Python
- File handling
- Exception handling
- OOP
- Advanced SQL
- Query optimization
- Window functions
- Database automation
Tools
- Python
- SQL Server
- MySQL
MODULE 2
Linux & Git/GitHub
What You'll Learn
- Linux commands
- File permissions
- Shell scripting
- Git basics
- Git branching
- Version control
- GitHub collaboration
Tools
- Linux
- Git
- GitHub
MODULE 3
ETL Concepts & SSIS
What You'll Learn
- ETL architecture
- Data extraction
- Data transformation
- Data loading
- SSIS packages
- Workflow management
- Error handling
Tools
- SSIS
- SQL Server
MODULE 4
Apache PySpark
What You'll Learn
- Distributed computing
- Spark architecture
- DataFrames
- Spark SQL
- Transformations
- Actions
- Streaming concepts
- Performance optimization
Tools
- Apache Spark
- PySpark
MODULE 5
Databricks
What You'll Learn
- Workspace management
- Notebooks
- Clusters
- Delta Lake
- Job scheduling
- Workflow orchestration
Tools
- Databricks
MODULE 6
Snowflake & Data Warehousing
What You'll Learn
- Data Warehouse concepts
- Snowflake architecture
- Schema design
- Warehousing strategies
- Performance tuning
- Data sharing
Tools
- Snowflake
MODULE 7
AWS & Azure
What You'll Learn
- Cloud fundamentals
- Storage services
- Compute services
- IAM
- Data Lake concepts
- Monitoring
- Security
Tools
- AWS
- Azure
MODULE 8
Data Pipelines & Cloud Fundamentals
What You'll Learn
- Pipeline design
- Workflow automation
- Scheduling
- Airflow basics
- Data validation
- Deployment
- Monitoring
- CI/CD fundamentals
Tools
- AWS
- Azure
Career Opportunities
Career Opportunities
Major Tools Covered
E-commerce Sales Data Pipeline
Real-Time Stock Market Data Pipeline
Customer 360 Data Platform
Social Media Sentiment Analysis Pipeline
