
FREE Course

Self-paced course
Self-paced course
Building Data Pipelines with Airflow
Building Data Pipelines with Airflow


Course Description
Welcome to Building Data Pipelines with Airflow, a capstone course designed to introduce you to one of the most popular orchestration tools and tie the rest of the modern data stack together into a single end-to-end pipeline.
We'll kick things off by introducing Airflow, covering what orchestration means, and how DAGs (or Directed Acyclic Graphs) bring tasks together.
From there, we'll look at how Airflow fits into the modern data stack alongside tools like Snowflake, dbt, and Fivetran. We'll also set up your local Airflow environment using the Astro CLI and Docker so you can code along throughout the course.
Next, we'll walk step-by-step through building an entire end-to-end data pipeline from scratch for Maven Outdoors, a fictional outdoor events company that wants up-to-date weather information in its dashboards:
Ingestion โ use a Python API to load data into Snowflake
Transformation โ use dbt to clean and restructure the data
Orchestration โ bring it all together with Airflow to automate the pipeline
Visualization โ build analytics reports in Tableau
By the end of this course, you'll know how to tie multiple modern data stack tools together into one complete, end-to-end data pipeline built from scratch. So if you're a data engineer or analytics engineer feeling overwhelmed by all the tools out there and want to see how they actually work together, this is the course for you.
Course Content
2 course hours
3 quizzes
Who should take this course
Aspiring data or analytics engineers looking to transition or break into the field
Data professionals who want a better understanding of modern data transformation
Anyone who wants to get hands-on practice using Airflow, dbt, and Snowflake
Meet your instructors

Alice Zhao
Lead Data Science Instructor
Alice Zhao is a seasoned data scientist and author of the book, SQL Pocket Guide, 4th Edition (O'Reilly). She's an adjunct lecturer for Northwestern University's Machine Learning and Data Science program, where she teaches Python, SQL, R, data warehousing and data visualization.
Featured review
Included learning paths
Course credential
Youโll earn the course certification by completing this course and passing the assessment requirements

Building Data Pipelines with Airflow
CPE Accreditation

CPE Credits:
0
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.

Course Description
Welcome to Building Data Pipelines with Airflow, a capstone course designed to introduce you to one of the most popular orchestration tools and tie the rest of the modern data stack together into a single end-to-end pipeline.
We'll kick things off by introducing Airflow, covering what orchestration means, and how DAGs (or Directed Acyclic Graphs) bring tasks together.
From there, we'll look at how Airflow fits into the modern data stack alongside tools like Snowflake, dbt, and Fivetran. We'll also set up your local Airflow environment using the Astro CLI and Docker so you can code along throughout the course.
Next, we'll walk step-by-step through building an entire end-to-end data pipeline from scratch for Maven Outdoors, a fictional outdoor events company that wants up-to-date weather information in its dashboards:
Ingestion โ use a Python API to load data into Snowflake
Transformation โ use dbt to clean and restructure the data
Orchestration โ bring it all together with Airflow to automate the pipeline
Visualization โ build analytics reports in Tableau
By the end of this course, you'll know how to tie multiple modern data stack tools together into one complete, end-to-end data pipeline built from scratch. So if you're a data engineer or analytics engineer feeling overwhelmed by all the tools out there and want to see how they actually work together, this is the course for you.
Full course curriculum coming soon
Meet your instructors

Alice Zhao
Lead Data Science Instructor
Alice Zhao is a seasoned data scientist and author of the book, SQL Pocket Guide, 4th Edition (O'Reilly). She's an adjunct lecturer for Northwestern University's Machine Learning and Data Science program, where she teaches Python, SQL, R, data warehousing and data visualization.
Student reviews
Included learning paths
Course credential
Youโll earn the course certification by completing this course and passing the assessment requirements

Building Data Pipelines with Airflow

Building Data Pipelines with Airflow
CPE Accreditation

CPE Credits:
0
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
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