Engineer Data for Predictive Modeling with BigQuery ML
Data Engineering & Predictive Modeling with BigQuery ML: From ETL to AI
- Streamlined ML Workflows
- BigQuery ML Proficiency
- Leveraging SQL for ML tasks
- Industry-Relevant Skills
- Validate expertise in ETL and predictive modeling
- Align with industry
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Google Cloud certifications in AI
What you will learn
The "Engineer Data for Predictive Modeling with BigQuery ML" skill badge course on Google Cloud Skills Boost focuses on end-to-end data engineering and predictive modeling workflows. Designed for intermediate learners, it teaches how to build scalable ETL (Extract, Transform, Load) pipelines using tools like Cloud Dataprep by Alteryx and Dataflow, while integrating BigQuery ML to create and deploy machine learning models. Participants learn to transform raw data into actionable insights, covering data preparation, pipeline automation, and logistic regression models for real-world scenarios like customer purchase prediction.
Google's Beginner-friendly Engineer Data for Predictive Modeling with BigQuery ML course Outline
Learn the Engineer Data for Predictive Modeling with BigQuery ML
Google Cloud's "Engineer Data for Predictive Modeling with BigQuery ML" is a game-changer for data professionals aiming to bridge the gap between data engineering and machine learning. This course demystifies ETL workflows with tools like Dataprep and Dataflow, while empowering you to build predictive models—like forecasting customer behavior—using BigQuery ML's SQL-driven approach. Whether you're optimizing data pipelines or deploying ML solutions, this program offers hands-on labs and industry-aligned skills. Ready to transform raw data into predictive gold? Explore the course here and earn a credential that showcases your expertise in scalable, AI-driven data engineering.
Start your journey today:
Course Structure Includes:
The curriculum includes four practical labs:
- Creating a Data Transformation Pipeline with Cloud Dataprep: Learn to visually explore, clean, and prepare data for analysis using Alteryx's Dataprep.
- ETL Processing with Dataflow and BigQuery: Build Python-based pipelines to ingest and transform public datasets into BigQuery.
- Predict Visitor Purchases with BigQuery ML: Develop a logistic regression model to forecast customer purchasing habits using ecommerce data.
- Challenge Lab: Test your skills in integrating ETL workflows and ML model deployment.
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Master ETL pipelines with Dataprep and Dataflow, then build predictive ML models in BigQuery. Transform raw data into actionable insights using Google Cloud’s integrated tools.
Pre-requisites
No Experience needed.
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