From Data to Insights with GCP

From Data to Insights with GCP

Want to know how to derive insights through data analysis and visualisation using the Google Cloud Platform? Then this two-day advanced data insights course is for you.

ex VAT

As a Google Cloud Partner, we’ll share best practice on how you can use the GCP tools efficiently to query and process petabytes of data in seconds.

Jellyfish has been selected by Google to facilitate the delivery of this two-day instructor led course. All of our trainers are experienced practitioners, so you can learn with total confidence.

The course features interactive scenarios and hands-on labs where you will explore, mine, load, visualise, and extract insights from diverse Google BigQuery datasets.

We’ll cover data loading, querying, schema modelling, optimising performance, query pricing, and data visualisation.

This From Data to Insights with Google Cloud Platform course is available at our training centre in The Shard, London. We also offer private training for your team, which is available upon request.

You can also view our full range of Google Cloud Platform courses here.

From Data to Insights with GCP2 day Classroom Course

This course is intended for the following participants:

  • Data Analysts, Business Analysts, Business Intelligence professionals
  • Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform

This course is part of the Google Cloud Platform Data Analyst Track.

What will I learn?
Upon completion of this course you'll walk away with the ability to:
  • Derive insights from data using the analysis and visualisation tools on Google Cloud Platform
  • Interactively query datasets using Google BigQuery
  • Load, clean, and transform data at scale
  • Visualise data using Google Data Studio and other third-party platforms
  • Distinguish between exploratory and explanatory analytics and when to use each approach
  • Explore new datasets and uncover hidden insights quickly and effectively
  • Optimising data models and queries for price and performance
To get the most of out of this course, you should have basic proficiency with ANSI SQL and completed the Data Engineering on Google Cloud Platform course.
Course Overview
Module 1: Introduction to Data on the Google Cloud Platform
  • Highlight Analytics Challenges Faced by Data Analysts
  • Compare Big Data On-Premises vs on the Cloud
  • Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud
  • Navigate Google Cloud Platform Project Basics
  • Lab: Getting started with Google Cloud Platform
Module 2: Big Data Tools Overview
  • Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools
  • Demo: Analyse 10 Billion Records with Google BigQuery
  • Explore 9 Fundamental Google BigQuery Features
  • Compare GCP Tools for Analysts, Data Scientists, and Data Engineers
  • Lab: Exploring Datasets with Google BigQuery
Module 3: Exploring your Data with SQL
  • Compare Common Data Exploration Techniques
  • Learn How to Code High Quality Standard SQL
  • Explore Google BigQuery Public Datasets
  • Visualisation Preview: Google Data Studio
  • Lab: Troubleshoot Common SQL Errors
Module 4: Google BigQuery Pricing
  • Walkthrough of a BigQuery Job
  • Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs
  • Optimise Queries for Cost
  • Lab: Calculate Google BigQuery Pricing
Module 5: Cleaning and Transforming your Data
  • Examine the 5 Principles of Dataset Integrity
  • Characterise Dataset Shape and Skew
  • Clean and Transform Data using SQL
  • Clean and Transform Data using a new UI: Introducing Cloud Dataprep
  • Lab: Explore and Shape Data with Cloud Dataprep
Module 6: DStoring and Exporting Data
  • Compare Permanent vs Temporary Tables
  • Save and Export Query Results
  • Performance Preview: Query Cache
  • Lab: Creating new Permanent Tables
Module 7: Ingesting New Datasets into Google BigQuery
  • Query from External Data Sources
  • Avoid Data Ingesting Pitfalls
  • Ingest New Data into Permanent Tables
  • Discuss Streaming Inserts
  • Lab: Ingesting and Querying New Datasets
Module 8: Data Visualisation
  • Overview of Data Visualisation Principles
  • Exploratory vs Explanatory Analysis Approaches
  • Demo: Google Data Studio UI
  • Connect Google Data Studio to Google BigQuery
  • Lab: Exploring a Dataset in Google Data Studio
Module 9: Joining and Merging Datasets
  • Merge Historical Data Tables with UNION
  • Introduce Table Wildcards for Easy Merges
  • Review Data Schemas: Linking Data Across Multiple Tables
  • Walkthrough JOIN Examples and Pitfalls
  • Lab: Join and Union Data from Multiple Tables
Module 10: Advanced Functions and Clauses
  • Review SQL Case Statements
  • Introduce Analytical Window Functions
  • Safeguard Data with One-Way Field Encryption
  • Discuss Effective Sub-query and CTE design
  • Compare SQL and Javascript UDFs
  • Lab: Deriving Insights with Advanced SQL Functions
Module 11: Schema Design and Nested Data Structures
  • Compare Google BigQuery vs Traditional RDBMS Data Architecture
  • Normalisation vs Denormalisation: Performance Tradeoffs
  • Schema Review: The Good, The Bad, and The Ugly
  • Arrays and Nested Data in Google BigQuery
  • Lab: Querying Nested and Repeated Data
Module 12: More Visualisation with Google Data Studio
  • Create Case Statements and Calculated Fields
  • Avoid Performance Pitfalls with Cache considerations
  • Share Dashboards and Discuss Data Access considerations
Module 13: Optimising for Performance
  • Avoid Google BigQuery Performance Pitfalls
  • Prevent Hotspots in your Data
  • Diagnose Performance Issues with the Query Explanation map
  • Lab: Optimising and Troubleshooting Query Performance
Module 14: Advanced Insights
  • Introducing Cloud Datalab
  • Cloud Datalab Notebooks and Cells
  • Benefits of Cloud Datalab
Module 15: Data Access
  • Compare IAM and BigQuery Dataset Roles
  • Avoid Access Pitfalls
  • Review Members, Roles, Organisations, Account Administration, and Service Accounts
2 days£1,095 ex VAT
Upcoming CoursesView all
Mon | September 16 | 2 day
From Data to Insights with Google Cloud Platform
The Shard, London
£1,095 +VAT
Mon | November 18 | 2 day
From Data to Insights with Google Cloud Platform
The Shard, London
£1,095 +VAT
Mon | January 13 | 2 day
From Data to Insights with Google Cloud Platform
The Shard, London
£1,095 +VAT
Mon | March 9 | 2 day
From Data to Insights with Google Cloud Platform
The Shard, London
£1,095 +VAT
Our facilities


Our trainers are all seasoned experts that have extensive experience working in the industry. They will be happy to answer questions, on the day or post training as part of our ongoing support.



Jellyfish have first class training facilities. Our flagship training centre is located at The Shard in London and we also have premium training facilities in the US, Spain and South Africa. We can also train at a location of your choice.

Food & Drink

Food & Drink

We pride ourselves on providing our attendees with high quality food and refreshments. Both are available throughout the day and we cater for any dietary requirements for you.

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Inspiring and knowledgeable trainer

Gained very practical advice that I could immediately put into practice.

Great environment for learning

The training was relevant, insightful and presented in a fun but professional manner.

They certainly know the digital world

Very useful insights that have paid off time and time again since the course.