Course Overview

Are you looking to gain a new in-demand skill from the comfort of your home? Well, look no further; you’ve come to the right place!

Our easy-to-follow Google Cloud Platform Big Data and Machine Learning Fundamentals will provide you with all the deep knowledge and insight you need to know about this topic. This comprehensive course has been broken down into several manageable modules, which we believe will assist you to easily grasp each concept – from the fundamental to the more advanced aspects of the course. 

Learn the most in-demand skills from the safety & comfort of your home. Enjoy the freedom to learn at your own comfortable pace and prepare yourself for the market of the future.

Learning Outcomes

Whether you are an aspiring professional or a complete beginner, this course will improve your expertise and boost your CV with key skills and an accredited certification attesting to your knowledge. 

Entry Requirement

    • This course is available to all learners of all academic backgrounds.
    • Learners should be aged 16 or over to undertake the qualification.
    • Some basic understanding of the English language and numeracy.  


After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can, however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £29 or in PDF format at the cost of £19.

    • PDF certificate’s turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days

Career path

Google Cloud Platform Big Data and Machine Learning Fundamentals is a useful qualification to possess and would be beneficial for any related profession or industry. 

Google Cloud Platform Big Data and Machine Learning Fundamentals



Course Curriculum

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

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