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.
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.
- 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
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.
- 1 year
- Course Certificate
- Number of Units40
- Number of Quizzes0
- 6 hours, 19 minutes Gift this course
|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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