Course Description

This course will introduce you 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.

Objectives

This course teaches participants the following skills:

• Identify the purpose and value of Google Cloud products and services.

• Interact with Google Cloud services.

• Describe ways in which customers have used Google Cloud.

• Use Big Data and ML products on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine.

• Use BigQuery, Google’s managed data warehouse for analytics.

Audience

This class is intended for the following:

• Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform.

• 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 Platform for use by data scientists.

Prerequisites

To get the most of out of this course, participants should have roughly one year of experience with one or more of the following:

• A common query language such as SQL

• Extract, transform, load activities

• Data modeling

• Machine learning and/or statistics

• Programming in Python.

Duration

One day

Delivery Method

Instructor-led, Instructor-led online

What to bring

For this class, please bring:

• Laptop (Windows, Mac OS or Linux)