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  1. Home
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  3. Cloud Computing
  4. Certificate
  5. From Data to Insights with Google Cloud Platform
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From Data to Insights with Google Cloud Platform

Study Method
In-class
Locations
London
Institution
Jellyfish Training
Recognition
Google Cloud Partner
Start Date
Enrol anytime
Course Fees
£1,919
Jellyfish Training Courses

Course overview

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 three-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 and is part of the Google Cloud Platform Data Analyst Track. This course will be run over three consecutive days. We also offer private training at a location of your choice or via a virtual classroom.

Expand all and read more

Campus locations

  • The Shard, London SE1

What you'll learn

By the end 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

Recognition

Google Cloud Partner
Google Cloud Partner

Study method

  • In-class
  • Blended
  • Online

Locations

  • England
    • London
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Duration study load

  • 3 days

Entry requirements

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.

Find out more about the entry requirements for this course
Get the course guide

Who's it for?

This course is intended for Data Analysts, Business Analysts and Business Intelligence professionals. Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform will also benefit from attending this course.

Subjects

Core Modules
Module 1
Introduction 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
Module 2
Analysing Large Datasets with BigQuery
  • 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: BigQuery Basics
Module 3
Exploring your Public Dataset 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: Explore your Ecommerce Dataset with SQL in Google BigQuery
Module 4
Cleaning and Transforming your Data with Cloud Dataprep
  • 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: Creating a Data Transformation Pipeline with Cloud Dataprep
Module 5
Visualising Insights and Creating Scheduled Queries
  • Overview of Data Visualisation Principles
  • Exploratory vs Explanatory Analysis Approaches
  • Demo: Google Data Studio UI
  • Connect Google Data Studio to Google BigQuery
  • Lab: How to Build a BI Dashboard Using Google Data Studio and BigQuery
Module 6
Storing and Ingesting new Datasets
  • Compare Permanent vs Temporary Tables
  • Save and Export Query Results
  • Performance Preview: Query Cache
  • Lab: Ingesting New Datasets into BigQuery
And more!
Want more information about the subjects for this course?
Get the course guide

Payment options

Course fees – £1,918.80

  • No government funding available for this course
Find out more about the payment options for this course
Get the course guide

About Jellyfish Training

Jellyfish is your digital partner. We support and drive digital transformation by providing the right technology, strategy, and training.

Jellyfish Training offer a range of delivery formats to suit all needs. Groups can be of any size, from private team sessions, multi-day workshops for entire organisations, 1-2-1s or even remote/online training catering for teams in different locations, we will be able to create something to suit.

Why Jellyfish Training?

  • Industry recognised courses designed and run by experienced
  • Professionals who are practitioners in their field
  • Global training offering
  • Suitable for groups of any size
  • Delivered face-to-face, or online
  • Google Cloud training partner
  • Google Marketing Platform Certified Partner
  • LinkedIn virtual course badge
  • Corporate packages available
  • Special rates for non-profit organisations
  • CPD-approved courses

We look forward to teaching you soon.

Reviews
Trustpilot

Recognition

Google Cloud Partner

Study method

  • In-class
  • Blended
  • Online

Locations

  • England
    • London
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coursesonline.co.uk customers are now eligible to apply for an XO Student Discount Card.

Enrol in a course today to unlock exclusive deals.

Want to know more about this course?
Complete the form and learn about:

  • Pricing and payment options
  • Start dates
  • Subjects
  • Study method
  • How to get help and contact information
  • Everything you need to know before enrolling!

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