In this introductory level Quest you will gain practical experience on the fundamentals of sports data science using BigQuery. Start your journey by creating a soccer dataset in BigQuery by importing CSV and JSON files. Harness the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on the soccer event data and evaluate the impressiveness of World Cup goals.
Overview
Syllabus
- BigQuery Soccer Data Ingestion
- Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.
- BigQuery Soccer Data Analysis
- Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
- BigQuery Soccer Data Analytical Insight
- Learn how to create deeper analytical insights from soccer event data using BigQuery.
- BigQuery Machine Learning using Soccer Data
- Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.
