Building Demand Forecasting with BigQuery ML

This self-paced lab in the Google Cloud console provides a hands-on opportunity to build a time series model for forecasting demand of multiple products using BigQuery ML. Throughout the course, you will:

• Use BigQuery to find and query the public NYC Citi Bike Trips dataset.
• Create a training and evaluation dataset for batch prediction.
• Develop a forecasting (time series) model in BQML.

With a focus on practical application, this course is based on a blog post and featured in an episode of Cloud OnAir. The skills acquired are valuable for data analysts, data engineers, and anyone interested in leveraging BigQuery ML for demand forecasting.