Online Course – Certified Professional Specialization in Data for Insights with Google Cloud by Google Cloud

Learn scalable data analysis methods. Discover how to query and process petabytes of data in seconds.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Query and process petabytes of data
  • Automatically increasing data accessibility
  • Research, visualization, and data manipulation from Google BigQuery databases
  • Working with interactive scenarios and exercises
  • Working with schema models
  • Making price inquiries
  • Data visualization

What you will learn in the course

Courses for which the course is suitable

  • Data analysts
  • Business analysts
  • Business Intelligence Experts
  • Cloud data engineers working in collaboration with analysts

Internship – Course Series Number 4

If you are interested in learning how to query and process petabytes of data in seconds, or how to automatically increase the ability to access data as the amount of data increases, this course is for you.

In the course, we will explore, visualize, and manipulate data from Google BigQuery databases through interactive scenarios and exercises. We will also cover schema models, price queries, data visualization, and more.

This course is suitable for:

  • Data analysts
  • Business analysts
  • Business Intelligence Experts
  • Cloud data engineers working in collaboration with analysts

To get the most out of the course, experience working with ANSI SQL is required.

>> To join this special course, click on the following link and read the terms of service: https://qwiklabs.com/terms_of_service <<

Details of the courses that make up the specialization

Explore and prepare your data with BigQuery – Japanese version

Course 1

8 hours

What you will learn:

  • Query BigQuery open data stores and gain insights from the data.
  • Validate data quality and develop automated data cleansing pipelines in BigQuery.
  • Create SQL and troubleshoot problems while working with real Google Analytics databases.

Course 2

8 hours

What you will learn:

  • Create existing, columnar tables from query results.
  • Load and create new datasets in BigQuery.
  • Distinguish between JOIN and UNION in SQL.
  • Use Looker Studio to create dashboards and visualizations.

Course 3

7 hours

What you will learn:

  • About advanced SQL functions that can be used in BigQuery.
  • How BigQuery solves scalability problems.
  • About basic procedures that may affect BigQuery performance and query optimization.
  • What tools in Google Cloud and BigQuery are available to manage permissions and assist with data sharing.

Course 4

8 hours

What you will learn:

  • Leverage ML in the business context.
  • The difference between pre-made and custom models.
  • Create machine learning datasets in BigQuery.
  • Build machine learning models in BigQuery.