Analytics Engineering
Learn how to leverage tools from the Modern Data Stack and bring software engineering best practices to your analytics workflows. Build robust data pipeline and produce high-quality data that is trusted throughout your organization.
Grow your Analytics Engineering skills
As an Analytics Engineer, you are responsible for creating high-quality data for reporting, machine learning modeling, and operational workflows. You use automation, version control, monitoring, and testing of your data pipelines to make sure your data is accessible, accurate, and actionable. We offer courses and learning journeys for any level of experience. These cover the necessary tools, languages, and technologies such as SQL, data modeling, dbt, and data observability for you to up your game in Analytics Engineering.
Analytics Engineer Learning Journey
Analytics Engineer Learning Journey
Become an even better Analytics Engineer with our Analytics Engineering learning journey and training courses to boost your career path.
Explore the Analytics Engineer roleRecommended Analytics Engineering Courses
SQL for Data Analysis
Become an expert
Data Warehousing and
Data Modeling
Become an expert
dbt Learn
Become an expertdbt in Production
Become an expertPower BI in a Day
Become an expertData Quality and Observability
Analyzing and Visualizing Data in Looker
Developing Data Models with LookML
Looking for custom solutions for your organization or team?
We’ll gladly help you explore the enterprise options.
Data Literacy Upskill Program
For teams and organizations
Empower your distributed team(s) with the skills to harness data and improve enterprise performance. From setting up a data academy to skills assessments and teaching the capabilities needed to succeed to the guidelines for a data community, we’ve got you covered!
Ask me anything!
Please reach out to Rozaliia, Training Advisor at Xebia Data Academy. She is happy to help you.
