From Data to Insights with Google Cloud Platform Training in United Kingdom

  • Learn via: Classroom
  • Duration: 3 Days
  • Level: Fundamentals
  • Price: From €3,614+VAT
We can host this training at your preferred location. Contact us!

This three-day instructor-led class teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform.

Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!

This three-day instructor-led class teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, data visualization, and machine learning.

Audience

This class is intended for the following:

  • 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

To get the most out of this course, participants should have:

  • Basic proficiency with ANSI SQL

  • Derive insights from data using the analysis and visualization tools on Google Cloud Platform
  • Load, clean, and transform data at scale with Google Cloud Dataprep
  • Explore and Visualize data using Google Data Studio
  • Troubleshoot, optimize, and write high performance queries
  • Practice with pre-built ML APIs for image and text understanding
  • Train classification and forecasting ML models using SQL with BQML

Module 1: Intro to 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: Analyzing Large Datasets with BigQuery

  • Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools
  • Demo: Analyze 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
  • Visualization 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
  • Characterize 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: Visualizing Insights and Creating Scheduled Queries

  • Overview of Data Visualization 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

  1. Compare Permanent vs Temporary Tables
  2. Save and Export Query Results
  3. Performance Preview: Query Cache
  4. Lab: Ingesting New Datasets into BigQuery

Module 7: Enriching your Data Warehouse with JOINs

  • 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: Troubleshooting and Solving Data Join Pitfalls

Module 8: Partitioning your Queries and Tables for Advanced Insights

  • 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: Creating Date-Partitioned Tables in BigQuery

Module 9: Designing Schemas that Scale: Arrays and Structs in BigQuery

  • Compare Google BigQuery vs Traditional RDBMS Data Architecture
  • Normalization vs Denormalization: Performance Tradeoffs
  • Schema Review: The Good, The Bad, and The Ugly
  • Arrays and Nested Data in Google BigQuery
  • Lab: Querying Nested and Repeated Data
  • Lab: Schema Design for Performance: Arrays and Structs in BigQuery

Module 10: Optimizing Queries for Performance

  • Walkthrough of a BigQuery Job
  • Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs
  • Optimize Queries for Cost

Module 11: Controlling Access with Data Security Best Practices

  • Data Security Best Practices
  • Controlling Access with Authorized Views

Module 12: Predicting Visitor Return Purchases with BigQuery ML

  • Intro to ML
  • Feature Selection
  • Model Types
  • Machine Learning in BigQuery
  • Lab: Predict Visitor Purchases with a Classification Model with BigQuery ML

Module 13: Deriving Insights from Unstructured Data using Machine Learning

  • Structured vs Unstructured ML
  • Prebuilt ML models
  • Lab: Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
  • Lab: Training with Pre-built ML Models using Cloud Vision API and AutoML

Module 14: Completion

  • Summary and course wrap-up
Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our United Kingdom facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

05 January 2025 (3 Days)
London, Manchester, Birmingham
Classroom / Virtual Classroom
05 January 2025 (3 Days)
London, Manchester, Birmingham
Classroom / Virtual Classroom
27 January 2025 (3 Days)
London, Manchester, Birmingham
Classroom / Virtual Classroom
14 February 2025 (3 Days)
London, Manchester, Birmingham
Classroom / Virtual Classroom
27 January 2025 (3 Days)
London, Manchester, Birmingham
Classroom / Virtual Classroom
14 February 2025 (3 Days)
London, Manchester, Birmingham
Classroom / Virtual Classroom
20 March 2025 (3 Days)
London, Manchester, Birmingham
Classroom / Virtual Classroom
20 March 2025 (3 Days)
London, Manchester, Birmingham
Classroom / Virtual Classroom
From Data to Insights with Google Cloud Platform Training Course in the United Kingdom

The United Kingdom (Britain) is situated in north-western Europe. The UK is made up of England, Scotland, Wales and Northern Ireland. The United Kingdom is a constitutional monarchy with a unitary parliamentary democracy, as Queen Elizabeth II has been the monarch since 1952. The country's capital and largest metropolis is London.

The United Kingdom has always been one of the most popular tourist destinations in Europe. People from all around the world come to see the diverse scenery and rich cultural background of Britain. Some of the most popular places to visit in the UK are London (with Tower Bridge, River Thames, Big Ben, Parliament Buildings, Westminster Abbey…), Scotland's Capital Edinburgh, Roman-Era Bath, Stonehenge (one of the best-known prehistoric monument in Europe), Windsor Castle and Loch Ness.

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