Course Overview

This course will introduce participants to Google Cloud’s big data and machine learning functions. You’ll begin with a quick overview of Google Cloud and then dive deeper into its data processing capabilities.. At the end of this course, participants will be able to:

• Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud
• Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud, employ BigQuery and Cloud SQL to carry out interactive data analysis
• Choose between different data processing products in Google Cloud
• Create ML models with BigQuery ML, ML APIs, and AutoML

Audience Profile

This course is suitable for:

• Data analysts, data scientists, and business analysts who are getting started with Google Cloud
• Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results, and creating reports
• Executives and IT decision makers evaluating Google Cloud for use by data scientists

Audience Profile

Roughly 1 year of experience with one or more of the following:

• A common query language such as SQL
• Extract, transform, and load activities
• Data modelling
• Machine learning and/or statistics
• Programming in Python