Google Cloud BigQuery for Data Analysts Course

The Google Cloud BigQuery for Data Analysts course is intended to provide learners with the foundational skills to analyze, visualize, and manage large-scale datasets using Google Cloud’s serverless data warehouse, BigQuery. learners will be exposed to practical experience querying data with SQL, performance tuning and optimization, dataset management, and integrating BigQuery with other Google Cloud offerings. This course will also cover essential interrelated advanced topics such as partitioning, clustering, and cost optimization to help analysts be responsible data-driven application developers.

learners will develop an understanding of use cases and practice real-world scenarios while also developing the skills required to translate complex business problems into analytical solutions. After completing the course and mastering BigQuery, learners will be able to confidently expand their analytical capabilities in a collaborative environment with control, scale, and access to the cloud.

Whether you want to become a data analyst or an existing professional looking to develop cloud-based analytics skills, this course will provide a full journey to understanding data analysis in the cloud. Take this course with SSDN Technologies, the Best Training Company known for their industry-expert trainers and practical learning. Acquire the skills required by the largest companies and grow your career in the always changing field of data analytics at SSDN Technologies.


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Learning Options for You

  • Live Training (Duration : 40 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic understanding of databases and SQL
  • Familiarity with Google Cloud Platform concepts
  • Knowledge of data analytics or BI workflows
  • Prior experience with spreadsheets or data visualization tools is helpful

Learning Objectives

This course provides in-depth training on Google Cloud BigQuery, a powerful, serverless data warehouse designed for scalable analytics. Learners will explore how to load, transform, and query massive datasets using SQL, optimize query performance, and control access with fine-grained permissions. The course includes practical labs on building reports, integrating BigQuery with tools like Looker Studio, and applying best practices for cost optimization. Participants will also learn about partitioning, clustering, and machine learning capabilities within BigQuery to derive actionable insights from data. By course completion, learners will be proficient in managing end-to-end analytical workflows using Google Cloud BigQuery.

Target Audience

  • Data analysts and business intelligence professionals
  • Data engineers exploring cloud-based analytics
  • SQL developers transitioning to Google Cloud
  • Professionals preparing for Google Data Analyst certification
  • Anyone aiming to master data querying and reporting in BigQuery

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