Data Engineering Programs
This pillar focuses on building, managing, and analyzing data systems to drive strategic decisions and innovation.
Data Engineering
Design and maintain scalable data pipelines using SQL, Python, and cloud tools to power modern data systems.
Foundations
- Data Modeling & Warehousing
- ETL Concepts & Tools (e.g., Airbyte)
Core
- Data Pipeline Development with Apache Airflow
- Working with Big Data: Spark Basics
- Data Architecture for Analytics Platforms
Advanced
- Cloud Data Engineering (AWS/GCP Basics)
- Real-Time Data Streaming with Kafka
Data Architecture
Master the design and governance of scalable, compliant data systems across databases, warehouses, and cloud platforms.
Foundations
- Basics of data modeling, databases, and governance
- Understanding the data lifecycle and architectural roles
Core
- Designing scalable database systems and data warehouses
- Intro to cloud data platforms and metadata management
Advanced
- Enterprise architecture, compliance, and data security
- Big data frameworks and cloud performance optimization
Data Analytics
Transform raw data into strategic insights with Excel, Power BI, and visualization tools to support smarter business decisions.
Foundations
- Intro to Data & Analysis Concepts
- Excel for Business Analytics
- SQL for Data Analysts
Core
- Power BI: From Data to Dashboards
- Python for Data Analysis
- Data Storytelling & Visualization
Advanced
- Exploratory Data Analysis (EDA)
- Capstone: Build & Present an Interactive Dashboard