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Course Curriculum

Course Curriculum

Unit 01: Introduction
Module 01: Welcome to This Course 00:01:00
Module 02: How to Get Maximum Value from This Course 00:06:00
Module 03: Course Structure & Coverage 00:02:00
Module 04: Technology in This Course 00:02:00
Module 01: Data Warehouse 00:07:00
Module 02: Start With BigQuery 00:05:00
Module 03: BigQuery Web User Interface 00:04:00
Unit 02: Introducing Data Warehouse & BigQuery
Module 01: First Data 00:04:00
Module 02: Basic Exploration 00:16:00
Module 03: Functions 00:14:00
Module 04: Common Data Types 00:07:00
Module 05: Different Query 00:01:00
Module 06: Exploring Common Data Types 00:25:00
Module 07: Converting Data Types 00:07:00
Unit 03: First Exploration
Module 01: Data Quality 00:06:00
Module 02: Clean & Transform 00:13:00
Module 03: Store Data 00:06:00
Module 04: Upgrading From Sandbox Account 00:01:00
Module 05: Clean & Transform With Dataprep 00:25:00
Module 06: Scheduled Query 00:04:00
Module 07: Analyze Data 00:05:00
Module 08: Data Visualization 00:06:00
Unit 04: Data Flow BasicUnit 05: Diving into BigQuery
Module 01: Essential BigQuery 00:15:00
Module 02: Load Data into BigQuery (Part 1) – The Basic 00:36:00
Module 03: Tip: Mock Data 00:01:00
Module 04: Load Data into BigQuery (Part 2) – Handling Errors 00:22:00
Module 05: Load Data into BigQuery (Part 3) – Efficient Load 00:14:00
Module 06: Load Data into BigQuery (Part 4) – From Your Data to BigQuery 00:23:00
Module 07: Load Data into BigQuery (Part 5) – In Microservice Architecture 00:20:00
Module 08: Tip: Message Broker Overview 00:08:00
Module 09: Load Data into BigQuery (Part 6) – Recurring Load 00:12:00
Unit 06: Virtual Data using View
Module 01: BigQuery View 00:06:00
Unit 07: Data Visualization
Module 01: What We Will Learn 00:01:00
Module 02: Google Sheets & BigQuery 00:10:00
Module 03: Google Data Studio 00:13:00
Unit 08: Intermediate Query
Module 01: Using Join – Theory 00:04:00
Module 02: Using Join – Hands On 00:16:00
Module 03: Union & Intersect 00:06:00
Module 04: Basic Statistical Functions 00:05:00

Data Engineering : Google BigQuery & Google Cloud

4.7( 7 REVIEWS )
Data Engineering : Google BigQuery & Google Cloud
  • Course Highlights

Because of it’s severless and cost-effective multi-cloud data warehouse qualities, BigQuery & Google Cloud has become one of the highly popular web services. To understand and master this valuable web-service, our Data Engineering : Google BigQuery & Google Cloud course is here to provide you with all the necessities.

The Data Engineering : Google BigQuery & Google Cloud course is a professionally devised course by the industry experts to guide you with both practical and theoretical knowledge of Google BigQuery & Google Cloud. The course covers essential topics such as basics of data warehouse and BigQuery, data flow, loading data in BidQuery, virtual data using view, intermediate Query and its functions along with much more. 

Having a good and solid foundation is essential for any career field and data engineering demands more than just a solid foundation. It requires an in-depth knowledge to efficiently work in this field. Data Engineering : Google BigQuery & Google Cloud course will establish just that in our learners. This is a self-paced course with a total number of [number] units. After the completion of this course successfully, the learner will get a recognized certificate.

Enrol now and master BigQuery & Google Cloud today!

  • Learning outcome
  • Gain an understanding of Data Warehouse & BigQuery
  • Learn about the basics of data flow
  • Learn about BigQuery View
  • Be able to define data visualization
  • Get familiarised with Intermediate Query
  • Learn about the basic statistical functions of Intermediate Query
  • Requirements
  • No formal qualifications required, anyone from any academic background can take this course.
  • Access to any internet-enabled smart device.
  • Why should I take this course?
  • 6+ hours of on-demand video lectures and downloadable resources.
  • Affordable premium-quality E-learning content, you can learn at your own pace.
  • You will receive a completion certificate upon completing the course.
  • Internationally recognized Accredited Qualification will boost up your resume.
  • You will learn the researched and proven approach adopted by successful salespeople to transform their careers.
  • You will be able to incorporate various practical sales techniques successfully and understand your customers better.
  • Who is This Course For?
  • Individuals who are interested in Google BigQuery & Google Cloud
  • Individuals who are looking for job opportunities in this engineering field
  • Students
  • Existing worker who want to polish their skills
  • Workers who are aiming a pay rise or promotion


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