Advance Your Data Engineering Skills

Courses under this program:
Course 1: Data Engineering with dbt
-Learn how to get started with setting up, running, and managing a dbt project.

Course 2: Problem-Solving Strategies for Data Engineers
-Data engineers are facing a wide variety of problems every day. Learn best practices on how to approach the typical challenges.

Course 3: ETL in Python and SQL
-Gain the knowledge you need to build data pipelines in a data-driven world.

Course 4: Fundamentals of Data Transformation for Data Engineering
-Get an introduction to the transformation landscape and how the pieces of data transformation fit together.

Course 5: Complete Guide to Data Lakes and Lakehouses
-Build the foundational knowledge and practical skills essential for data engineers, data scientists, and related professionals to effectively design and utilize data lakes.

Course 6: Learning Apache Airflow
-Get an introduction to Apache Airflow—its uses, structure, how to get it up and running, and how to create and execute workflows.

Course 7: Data Engineering Pipeline Management with Apache Airflow
-Explore ways to work with role-based access control, manage SLAs, schedule DAGs with datasets, work with Airflow Plugins, and scale Airflow.

Course 8: Data Engineering Project: Build Streaming Ingestion Pipelines for Snowflake with AWS
-Upskill as a data professional by learning how to build streaming pipelines using Snowflake, Kafka, and AWS.

Course 9: Data Pipeline Automation with GitHub Actions Using R and Python
-Learn how to set up workflows on GitHub Actions to automate processes with both R and Python.

Course 10: End-to-End Data Engineering Project
-Learn how to create an end-to-end data engineering project using open tools from the modern data stack to turn scattered data into a model that drives insights and decision-making.