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Google Cloud Platform (GCP) for Data Analytics Training Course

Rating

9/10

Duration

3 Days

Course Overview

This practical course provides hands-on training on Google Cloud Platform (GCP) tools for data analytics, including BigQuery, Dataflow, and Looker. Participants will learn to store, process, and analyze large datasets while leveraging the scalability and efficiency of GCP. Real-world examples and exercises will demonstrate how these tools can be used for advanced analytics and visualization.

Format of Training

  • Instructor-led sessions
  • Hands-on lab activities with GCP tools
  • Practical demonstrations of workflows
  • Group discussions and real-world case studies

Course Objectives

  1. Understand the fundamentals of GCP data analytics tools and their applications.
  2. Learn to query and manage data in BigQuery for scalable analytics.
  3. Explore Dataflow for real-time data processing and transformation.
  4. Gain proficiency in creating visualizations and dashboards with Looker.
  5. Apply best practices for optimizing performance and managing costs on GCP.
  6. Develop workflows for integrating GCP tools into data analytics pipelines.
  7. Build confidence in using GCP for advanced analytics and reporting.

Prerequisites

  • Basic understanding of data analysis concepts
  • Familiarity with SQL
  • No prior experience with GCP required
  • Interest in leveraging cloud technologies for data analytics
Course Outline


Day 1: Introduction to GCP and BigQuery

Session 1: Overview of GCP for Data Analytics

  • Introduction to GCP architecture and key services
  • Benefits of using GCP for data analytics

Session 2: Getting Started with BigQuery

  • Setting up GCP and BigQuery projects
  • Loading and querying datasets in BigQuery

Session 3: Advanced Querying in BigQuery

  • Writing complex SQL queries for data analysis
  • Practical demonstration: Optimizing queries for performance and cost

Day 2: Real-Time Data Processing with Dataflow

Session 1: Introduction to Dataflow

  • Overview of Dataflow for stream and batch processing
  • Use cases and applications

Session 2: Building Data Pipelines with Dataflow

  • Creating and managing pipelines for data transformation
  • Implementing a Dataflow pipeline for ETL tasks

Session 3: Integrating BigQuery and Dataflow

  • Using Dataflow to feed data into BigQuery
  • Practical demonstration: Building an end-to-end data pipeline

Day 3: Visualization and Reporting with Looker

Session 1: Getting Started with Looker

  • Introduction to Looker and its capabilities
  • Connecting Looker to BigQuery for analytics

Session 2: Creating Dashboards and Visualizations

  • Designing interactive dashboards and reports
  • Building a business dashboard with Looker

Session 3: Applications and Best Practices

  • Case studies in retail, finance, and operations
  • Group activity: Designing and presenting a GCP-based analytics solution

Bespoke Option

We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.

Course Enquiry

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Course Name: Google Cloud Platform (GCP) for Data Analytics Training Course

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