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

Learn high-level data analytics. Discover how to query and manipulate petabytes of data in seconds.

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קורס אונליין - התמחות מקצועית מוסמכת במנתונים לתובנות של Google Cloud

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

  • Data analysis and insights generation
  • Visual presentation of data
  • Working with Google Cloud Platform
  • Using Google BigQuery
  • Performing interactive scenarios
  • Working with diverse datasets
  • Applying practical skills in laboratories
  • Understanding ANSI SQL
  • Collaboration with data analysts
  • Building scalable data solutions

What you will learn in the course

Courses for which the course is suitable

  • Data analysts
  • Business analysts
  • Business Intelligence Professionals
  • Cloud Data Engineers

Internship – 4-part course series

Want to know how to query and process petabytes of data in seconds? Curious about data analytics that automatically scales as your data grows? Welcome to the Data Insights course!

This accelerated course series, consisting of four online courses, teaches participants how to gain insights through data analysis and visualization using the Google Cloud Platform. The courses include interactive scenarios and hands-on labs where participants explore, process, load, display, and extract insights from diverse Google BigQuery datasets.

Internship is intended for:

  • Data analysts, business analysts, business intelligence professionals
  • Cloud Data Engineers who will collaborate with data analysts to build scalable data solutions on the Google Cloud Platform

To get the most out of this internship, we recommend that participants have a general knowledge of ANSI SQL.

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Practical learning project

This internship includes hands-on labs using our Qwiklabs platform. These hands-on components will allow you to apply the skills you learned in the video lectures. Projects will include topics such as Google Cloud Platform products, used and configured within Qwiklabs.

You can expect to gain practical experience with the concepts explained during the modules.

Details of the courses that make up the specialization

Explore and prepare your data with BigQuery

Course 1

Duration: 7 hours

Rating: 4.7 (3,628 ratings)

What will you learn?

  • Ask questions and gain insights from public data in BigQuery.
  • Assess data quality and develop an automated cleaning system to distribute to BigQuery.
  • Write and troubleshoot SQL on a real Google Analytics e-commerce database to generate marketing insights.

Skills you will gain

  • BigQuery
  • Google Cloud Platform
  • Cloud computing
  • SQL

Course 2: Creating new databases in BigQuery and extracting insights

Duration: 8 hours

Rating: 4.6 (1,738 ratings)

What will you learn?

  • Create new permanent and temporary tables from the results of your queries.
  • Load and create new databases within BigQuery.
  • Distinguish between SQL JOINs and UNIONs and when to use each.
  • Create dashboards and visualizations with Looker Studio.

Skills you will gain

  • BigQuery
  • Google Cloud Platform
  • Cloud computing
  • SQL

Course 3: Gaining Advanced Insights with BigQuery

Duration: 7 hours

Rating: 4.7 (1,325 ratings)

What will you learn?

  • Discuss more advanced SQL functions in BigQuery.
  • Compare how BigQuery was developed to deal with scaling limitations with the evolution of traditional databases.
  • Unravel the fundamental aspects that can affect BigQuery performance and how to optimize your queries.
  • Distinguish between the tools in Google Cloud and BigQuery that allow you to control permissions and share your data.

Skills you will gain

  • BigQuery
  • Google Cloud Platform
  • Cloud computing
  • SQL

Course 4: Applying Machine Learning to Your Data with Google Cloud

Duration: 7 hours

Rating: 4.7 (1,140 ratings)

What will you learn?

  • Explain what machine learning is and how it can benefit your business.
  • Distinguish between pre-built and custom models in machine learning.
  • Create machine learning datasets in BigQuery.
  • Create machine learning models in BigQuery.

Skills you will gain

  • BigQuery
  • Machine learning
  • Google Cloud Platform
  • Cloud computing

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