Course Highlights
Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this step-by-step Data Engineering : Google BigQuery & Google Cloud training course. This Data Engineering : Google BigQuery & Google Cloud course for Consistent Profits has been specially designed to help learners gain a good command of Data Engineering : Google BigQuery & Google Cloud, providing them with a solid foundation of knowledge to understand relevant professionals’ job roles.
Through this Data Engineering : Google BigQuery & Google Cloud course, you will gain a theoretical understanding of Data Engineering : Google BigQuery & Google Cloud and others relevant subjects that will increase your employability in this field, help you stand out from the competition, and boost your earning potential in no time.
Not only that, but this Data Engineering : Google BigQuery & Google Cloud training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry.
This course is fully CPD-accredited and broken down into several manageable modules, making it ideal for aspiring professionals.
Learning outcome
- Familiar yourself with the recent development and updates of the relevant industry
- Know how to use your theoretical knowledge to adapt in any working environment
- Get help from our expert tutors anytime you need
- Access to course contents that are designed and prepared by industry professionals
- Study at your convenient time and from wherever you want
Course media
Why should I take this course?
- 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 people to transform their careers.
- You will be able to incorporate various techniques successfully and understand your customers better.
Requirements
- No formal qualifications required, anyone from any academic background can take this course.
- Access to a computer or digital device with internet connectivity.
Course Curriculum
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Module 01: Welcome to This Course
00:01:00
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Module 02: How to Get Maximum Value from This Course
00:06:00
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Module 03: Course Structure & Coverage
00:02:00
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Module 04: Technology in This Course
00:02:00
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Module 01: Data Warehouse
00:07:00
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Module 02: Start With BigQuery
00:05:00
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Module 03: BigQuery Web User Interface
00:04:00
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Module 01: First Data
00:04:00
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Module 02: Basic Exploration
00:16:00
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Module 03: Functions
00:14:00
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Module 04: Common Data Types
00:07:00
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Module 05: Different Query
00:01:00
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Module 06: Exploring Common Data Types
00:25:00
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Module 07: Converting Data Types
00:07:00
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Module 01: Data Quality
00:06:00
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Module 02: Clean & Transform
00:13:00
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Module 03: Store Data
00:06:00
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Module 04: Upgrading From Sandbox Account
00:01:00
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Module 05: Clean & Transform With Dataprep
00:25:00
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Module 06: Scheduled Query
00:04:00
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Module 07: Analyze Data
00:05:00
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Module 08: Data Visualization
00:06:00
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Module 01: Essential BigQuery
00:15:00
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Module 02: Load Data into BigQuery (Part 1) – The Basic
00:36:00
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Module 03: Tip: Mock Data
00:01:00
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Module 04: Load Data into BigQuery (Part 2) – Handling Errors
00:22:00
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Module 05: Load Data into BigQuery (Part 3) – Efficient Load
00:14:00
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Module 06: Load Data into BigQuery (Part 4) – From Your Data to BigQuery
00:23:00
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Module 07: Load Data into BigQuery (Part 5) – In Microservice Architecture
00:20:00
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Module 08: Tip: Message Broker Overview
00:08:00
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Module 09: Load Data into BigQuery (Part 6) – Recurring Load
00:12:00
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Module 01: BigQuery View
00:06:00
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Module 01: What We Will Learn
00:01:00
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Module 02: Google Sheets & BigQuery
00:10:00
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Module 03: Google Data Studio
00:13:00
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Module 01: Using Join – Theory
00:04:00
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Module 02: Using Join – Hands On
00:16:00
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Module 03: Union & Intersect
00:06:00
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Module 04: Basic Statistical Functions
00:05:00
Offer Ends in

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Duration:6 hours, 19 minutes
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Access:1 Year
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Units:39

