Explore Contact us

What you will learn

  • Want to know how to query and process petabytes of data in seconds?
  • Curious about data analysis that scales automatically as your data grows?

Skills you will gain

  • Shareable Certificate Earn a Cerfiticate upon completion
  • On Demand or Face to Face Start instantly and learn at your own schedule
  • Flexible Schedule Set and maintain flexible deadlines
  • Intermediate For those with working experience or likely to have completed foundation level training  
  • English Subtitles: English

This course consists of 13 lessons

Introduction to Data on the Google Cloud Platform: Before and Now: Scalable Data Analysis in the Cloud - Highlight Analytics Challenges Faced by Data Analysts - Compare Big Data On-Premise 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

Big Data Tools OverviewSharpen the Tools in your Data Analyst toolkit: 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: Exploring Datasets with Google BigQuery

Exploring your Data with SQLGet Familiar with Google BigQuery and Learn SQL Best Practices: Compare Common Data Exploration Techniques - Learn How to Code High Quality Standard SQL - Explore Google BigQuery Public Datasets - Visualization Preview Google Data Studio - Lab: Troubleshoot Common SQL Errors

Google BigQuery Pricing: Calculate Google BigQuery Storage and Query Costs - Walkthrough of a BigQuery Job - Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs - Optimize Queries for Cost - Lab Calculate Google BigQuery Pricing

Cleaning and Transforming your DataWrangle your Raw Data into a Cleaner and Richer Dataset: 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: Explore and Shape Data with Cloud Dataprep

Storing and Exporting DataCreate new Tables and Exporting Results: Compare Permanent vs Temporary Tables - Save and Export Query Results - Performance Preview: Query Cache - Lab: Creating new Permanent Tables

Ingesting New Datasets into Google BigQueryBring your Data into the Cloud: Query from External Data Sources - Avoid Data Ingesting Pitfalls - Ingest New Data into Permanent Tables - Discuss Streaming Inserts - Lab Ingesting and Querying New Datasets

Data Visualization: Effectively Explore and Explain your Data through Visualization - Overview of Data Visualization 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

Joining and Merging Datasets: Combine and Enrich your Datasets with more Data - 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

Google BigQuery Table Deep Dive: What sets Cloud Architecture apart? - Compare Data Warehouse Storage Methods - Deep-dive into Column-Oriented Storage - Examine Logical Views, Date-Partitioned Tables, and Best Practices - Query the Past with Time Travelling Snapshots

Schema Design and Nested Data Structures: Model your Datasets for Scale in Google 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

Advanced Visualization with Google Data StudioCreate Pixel-Perfect Dashboards: Create Case Statements and Calculated Fields - Avoid Performance Pitfalls with Cache considerations - Share Dashboards and Discuss Data Access considerations - Lab: Visualizing Insights with Google Data Studio

Advanced Functions and ClausesDive Deeper into Advanced Query Writing

Show more

Frequently asked questions

Shareable on LinkedIn

You can share your Course Certificates in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

Are you ready to begin learning exceptional new skills?

Call:
01225 308979

Email:
info@go.courses

Find us at:
Go Courses Ltd.
Kemp House
152 - 160 City Road
London
United Kingdom
EC1V 2NX

Registered Office:
Go Courses Ltd.
10 Laura Place
Bath
United Kingdom
BA2 4BL

View on a map

Delighted satisfaction rating