Data Engineering Nanodegree

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.

5 months to complete

PREREQUISITE KNOWLEDGE

To be successful in this program, you should have intermediate Python and SQL skills.See detailed requirements.

Data Modeling

Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.

• DATA MODELING WITH POSTGRES
• DATA MODELING WITH APACHE CASSANDRA

Cloud Data Warehouses

Sharpen your data warehousing skills and deepen your understanding of data infrastructure. Create cloud-based data warehouses on Amazon Web Services (AWS).

• BUILD A CLOUD DATA WAREHOUSE

Spark and Data Lakes

Understand the big data ecosystem and how to use Spark to work with massive datasets. Store big data in a data lake and query it with Spark.

• BUILD A DATA LAKE

Data Pipelines with Airflow

Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.

• DATA PIPELINES WITH AIRFLOW

Capstone Project

Combine what you've learned throughout the program to build your own data engineering portfolio project. This is currently still in progress.

• DATA ENGINEERING CAPSTONE