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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

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