Introduction to Data Analytics on Google Cloud

Instructor: Google Cloud Training

Access provided by Taipei Medical University & IOOOI Ally

3,895 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

13 reviews

Beginner level

No prior experience required

5 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

13 reviews

Beginner level

No prior experience required

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Describe the data analytics workflow on Google Cloud and summarize the different types of analytics.
Identify Google Cloud data analytics products and describe how each is used to work with data.
Describe data sources, data structures, and data storage options in Google Cloud.
Use BigQuery, Looker, and Looker Studio to answer data questions and influence business decisions.

Skills you'll gain

Tools you'll learn

Dashboard

Details to know

Shareable certificate

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Assessments

3 assignments

Taught in English

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There are 5 modules in this course

In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.

This section welcomes learners to the Introduction to Data Analytics on Google Cloud course. In addition, this section introduces learners to the topics, concepts, and objectives of the course.

What's included

1 video

In this module, you receive a high-level introduction to a typical Google Cloud data analytics workflow, including what data sources and storage options are available, and examples of what types of data are best suited for data analysis versus machine learning training data.

What's included

4 videos1 assignment

4 videos Total 11 minutes

Understand the data analytics lifecycle on Google Cloud: Introduction 1 minute
Introducing a Google Cloud data analytics workflow 4 minutes
Google Cloud data sources and storage methods 5 minutes
Understand the data analytics lifecycle on Google Cloud: Summary 1 minute

1 assignment Total 10 minutes

Quiz: Understand the data analytics lifecycle on Google Cloud 10 minutes

In this module, you receive a high-level introduction to BigQuery and its solution architecture, and use common SQL commands to locate specific data in BigQuery to answer a data-driven question.

What's included

6 videos1 assignment1 app item1 plugin

6 videos Total 16 minutes

Explore data and extract insights using BigQuery: Introduction 1 minute
Introduction to BigQuery for data analysts 7 minutes
Derive insight from data with BigQuery 4 minutes
Lab introduction: BigQuery: Qwik Start - Console 0 minutes
BigQuery organizes data to make analytics easier 4 minutes
Explore data and extract insights using BigQuery: Summary 1 minute

1 assignment Total 10 minutes

Quiz: Explore data and extract insights using BigQuery 10 minutes

1 app item Total 60 minutes

Lab: BigQuery: Qwik Start - Console 60 minutes

1 plugin Total 15 minutes

Accessing and completing labs 15 minutes

In this module you learn the fundamentals of data exploration and visualization in Looker. In addition, you learn how to share data from Looker and Looker Studio.