Discover how Google Cloud can help you thrive as a leader in a cloud-first world.
From change management and remote work productivity to getting started in the Cloud and reducing IT costs, this training can give you the tools and insights to prioritize and solve today’s critical business challenges.
Gain an understanding of what data is, how you can use it to make decisions, and its critical role in machine learning. Learners will also be introduced to concepts such as structured and unstructured data, database, data warehouses, and data lakes.
Overview
Cloud technology on its own only provides a fraction of the true value to a business; When combined with data–lots and lots of it–it has the power to truly unlock value and create new experiences for customers. In this course, you’ll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. This course also introduces learners to technical concepts such as structured and unstructured data. database, data warehouse, and data lakes. It then covers the most common and fastest growing Google Cloud products around data.
This is the second course in the Cloud Digital Leader series. At the end of this course, enroll in the Infrastructure and Application Modernization with Google Cloud course.
Skills Covered
- Describe the role of data in digital transformation and the importance of a data-driven culture.
- Identify common Google Cloud solutions for data management.
- Identify common Google Cloud solutions for smart analytics.
- Identify Google Cloud’s solutions for Machine Learning and AI.
Prerequisites
There are no pre-requisites required to attend this course.
Target Audience
N/A
Introduction
Welcome to Innovating with Data and Google Cloud! In this module, you’ll meet the instructor, learn about the course content, and how to get started.
Module 1: The Value of Data
Data is key to digital transformation. In fact, capturing, managing, and leveraging data is central to redefining customer experience and creating new value in almost every industry. This module begins by exploring the value of data for enabling digital transformation, followed by a breakdown of the different types of data and considerations for collecting, storing, and processing data when using cloud technology.
Module 2: Data Consolidation and Analytics
This module introduces key terms that are related to data management and highlights the benefits of migrating data to the cloud. It offers several customer uses cases along with relevant Google Cloud data management solutions. It concludes with a review of key products such as BigQuery and Looker that enable users to draw insights from their data.
Module 3: Innovation with Machine Learning
Data analytics has historically been about understanding what has already happened in the past. With advancements in cloud technology, and the availability of digital devices, we’re generating volumes of data everyday. This module explores the capabilities of machine learning and what becomes possible with volumes of data.
It builds on the previous module by explaining ways a machine can learn to predict, categorize, and recommend based on lots and lots of data. Throughout the module, you’ll uncover examples of customers who have used machine learning to bring innovative solutions to their customers.
Summary
This module provides a summary of the key points covered in each module and steps you can take to continue your learning.
Dates & Locations
Exam & Certification
This course is not associated with any Certification.
Training & Certification Guide
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