Smart analytics and data management
Become data-driven by learning how to leverage data and gain real-time insights that improve your decision-making and accelerate innovation and get a hands-on introduction to designing and building data processing systems on Google Cloud.
Data Analyst learning path
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? This course features interactive scenarios and hands-on labs where you can explore, mine, load, visualize, and extract insights from diverse BigQuery datasets.
Data Engineer learning path
This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud. It provides a quick overview of Google Cloud and a deeper dive of the data processing capabilities.
Get a hands-on introduction to designing data processing systems, building end-to-end data pipelines, and analyzing data and deriving insights on Google Cloud with this course. You'll learn how to lift and shift Hadoop workloads using Dataproc, process batch and streaming data on Dataflow, manage data pipelines with Data Fusion and Cloud Composer, derive business insights using BigQuery, use pre-built ML APIs, and build ML models using BigQuery ML.
You can start preparing for your Data Engineering certification exam and further your ability to collect, transform, and publish data to help organizations make data-driven decisions as a data engineer with this course. This course alone will not prepare you to pass the Professional Data Engineer certification exam, but it will deepen your understanding of the areas covered by the exam and help you navigate the other preparation resources recommended by Google.