GCP - Google Cloud Associate Data Practitioner Certification

Prepare for Google Cloud Data Practitioner | BigQuery, Dataproc, Dataform, Cloud Composer, Looker Studio, Dataflow

This course is a comprehensive, hands-on learning path designed to help you prepare for the Google Cloud Associate Data Practitioner Certification, following the structure and objectives outlined in the official exam guide.

The certification targets individuals working with data in the cloud, requiring foundational skills in managing, processing, analyzing, and visualizing data using Google Cloud technologies.

In this course, you’ll learn to confidently work across various GCP services and develop a clear understanding of their practical use in end-to-end data workflows.

Key Focus Areas:

• Data Preparation and Ingestion: Learn to differentiate between ETL, ELT, and ETLT, clean and transform datasets, and work with tools like Cloud Data Fusion and BigQuery.

• Data Analysis and Visualization: Use BigQuery to explore datasets, interpret analytical results, and build impactful dashboards with Looker Studio. Learn to utilize BigQuery ML and AutoML for predictive insights.

• Data Pipeline Orchestration: Implement and schedule data pipelines using Cloud Composer (Apache Airflow), Dataflow (Apache Beam), Dataform, and Dataproc.

• Data Management: Understand when to use Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner, and AlloyDB, including considerations around cost, scale, and performance.

This course blends theory with practical labs, real-world scenarios, and project-based exercises to help you internalize concepts and gain confidence.

Whether you're aiming to clear the exam or build a strong data foundation in GCP, this course provides everything you need to succeed.