Course Overview of Cloud Hero: Intro to BigQuery – Analytics & Machine Learning

Cloud Hero: Intro to BigQuery – Analytics & Machine Learning is a challenge-based learning experience designed for learners who want to move beyond data querying and explore machine learning directly within BigQuery. Participants will learn how to ingest datasets, analyze large-scale data using SQL, and build predictive machine learning models without leaving the BigQuery environment. 

Through guided labs and real-world business scenarios, learners will gain practical experience using BigQuery ML to predict customer behavior, perform forecasting, and generate business insights from large datasets. 

After completing Cloud Hero: Intro to BigQuery – Analytics & Machine Learning, participants will be able to:

  • Use BigQuery to query and analyze large datasets.
  • Import and manage datasets in BigQuery.
  • Design data structures optimized for analytics.
  • Build machine learning models using SQL and BigQuery ML.
  • Perform predictive analytics on customer datasets.
  • Create forecasting models using real-world data. 
  • Analyze and interpret machine learning results.
  • Apply BigQuery ML to business intelligence and analytics use cases.

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Key Features of Cloud Hero: Intro to BigQuery – Analytics & Machine Learning

  •  BigQuery Analytics Fundamentals

  • Command-Line BigQuery Operations

  • Data Ingestion and Management

  • Introduction to BigQuery ML

  • Predictive Analytics

  • Forecasting with Real-World Data

  • SQL-Based Machine Learning

  • Hands-On Challenge-Based Learning

Who should Attend Cloud Hero: Intro to BigQuery – Analytics & Machine Learning

Prerequisites of Cloud Hero: Intro to BigQuery – Analytics & Machine Learning

  • Basic understanding of BigQuery.
  • Familiarity with SQL concepts recommended.
  • Interest in analytics and machine learning.
  • Completion of Cloud Hero: BigQuery Skills is beneficial but not required.

Course Outline of Cloud Hero: Intro to BigQuery – Analytics & Machine Learning Download Course Outline

Topics

  • BigQuery Fundamentals
  • SQL Queries
  • Command-Line Operations
  • Dataset Exploration

Learning Outcomes

  • Understand BigQuery architecture and capabilities.
  • Execute queries using command-line tools.
  • Explore datasets using SQL.
  • Manage BigQuery resources effectively.

Activities

  • Lab: GSP071 – BigQuery: Qwik Start – Command Line
  • SQL Query Practice
  • Dataset Exploration Challenge

Topics

  • Data Ingestion
  • Dataset Management
  • Data Loading Techniques
  • Analytics Data Preparation

Learning Outcomes

  • Import datasets into BigQuery.
  • Organize and prepare data for analysis.
  • Manage large-scale datasets effectively.
  • Build analytics-ready data environments.

Activities

  • Lab: GSP411 – Ingesting New Datasets into BigQuery
  • Data Management Workshop
  • Dataset Preparation Exercise

Topics

  • BigQuery ML Fundamentals
  • Machine Learning with SQL
  • Model Training
  • Predictive Analytics

Learning Outcomes

  • Build machine learning models directly in BigQuery.
  • Train and evaluate predictive models.
  • Understand ML workflows using SQL.

Activities

  • Lab: GSP247 – Getting Started with BigQuery ML
  • Model Building Exercise
  • Predictive Analytics Challenge

Topics

  • Forecasting Models
  • Time-Series Analysis
  • BigQuery ML Forecasting
  • Real-World Predictive Analytics

Learning Outcomes

  • Build forecasting models using BigQuery ML.
  • Analyze historical data to predict future outcomes.
  • Apply machine learning to real-world business scenarios.
  • Interpret forecasting results and predictions.

Activities

  • Lab: GSP246 – Predict Taxi Fare with a BigQuery ML Forecasting Model
  • Forecasting Workshop
  • Machine Learning Challenge

Certification Details of Cloud Hero: Intro to BigQuery – Analytics & Machine Learning

    Participants receive a Cloud Hero completion badge and recognition upon successful completion of all challenge activities.

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Course ID: 29588

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FAQs of Cloud Hero: Intro to BigQuery – Analytics & Machine Learning

This Cloud Hero is designed for learners who want to explore machine learning capabilities within BigQuery and build predictive analytics skills.

No. The challenge introduces machine learning concepts using SQL and BigQuery ML.

Yes. The entire Cloud Hero consists of guided labs and practical analytics challenges.

The course covers predictive modeling, forecasting, model training, evaluation, and machine learning workflows using BigQuery ML.

No. Machine learning models are built directly using SQL within BigQuery.

The challenge focuses on BigQuery and BigQuery ML.

The complete Cloud Hero experience takes approximately 195 minutes.

Participants typically earn a Cloud Hero completion badge upon successful completion of all challenge activities.

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