Preparing and Using Data for Analysis
Making data ready for analysts and models: BigQuery transformations, sharing, BI Engine, BigQuery ML and feature preparation.
GCP-313 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · Google Cloud Certification Prep
Course content
- 1Preparing data for visualizationComing
- 2Transforming data in BigQueryComing
- 3Materialized views and BI EngineComing
- 4Sharing data: authorized views and Analytics HubComing
- 5Data quality and validationComing
- 6Preparing data for machine learningComing
- 7BigQuery ML modelsComing
- 8Vertex AI integration for data engineersComing
- 9Feature engineering at scaleComing
- 10Search and vector features in BigQueryComing
- 11Privacy-preserving analysisComing
- 12Lab walkthrough: a curated analytics layerComing
Requirements
- GCP-311 Ingesting and Processing Data: Pub/Sub, Dataflow and Dataproc
- GCP-312 Storing Data on Google Cloud for Data Engineers
Recommended background. You can start any course at any time.
Description
Making data ready for analysts and models: BigQuery transformations, sharing, BI Engine, BigQuery ML and feature preparation.