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-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

BIG DATA TOOLS OVERVIEW Sharpen 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 SQL Get 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 DATA Wrangle 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 DATA Create 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 BIGQUERY Bring 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

ADVANCED FUNCTIONS AND CLAUSES Dive Deeper into Advanced Query Writing with Google BigQuery

• 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

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

MORE VISUALIZATION WITH GOOGLE DATA STUDIO Create Pixel-Perfect Dashboards

• Create Case Statements and Calculated Fields
• Avoid Performance Pitfalls with Cache considerations
• Share Dashboards and Discuss Data Access considerations

OPTIMIZING FOR PERFORMANCE Troubleshoot and Solve Query Performance Problems

• Avoid Google BigQuery Performance Pitfalls
• Prevent Hotspots in your Data
• Diagnose Performance Issues with the Query Explanation map
• Lab: Optimizing and Troubleshooting Query Performance

ADVANCED INSIGHTS Think, Analyze, and Share Insights like a Data Scientist

• Introducing Cloud Datalab
• Cloud Datalab Notebooks and Cells
• Benefits of Cloud Datalab

DATA ACCESS Keep Data Security top-of-mind in the Cloud

• Compare IAM and BigQuery Dataset Roles
• Avoid Access Pitfalls
• Review Members, Roles, Organizations, Account Administration, and Service Accounts