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Data Engineering with Google BigQuery & Google Cloud
46 Students (10 Reviews)
Register on the Data Engineering with Google BigQuery & Google Cloud today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.
GET THIS COURSE AND 3000+ OTHERS FOR ONLY £49 PER YEAR. FIND OUT MORE
Overview
Register on the Data Engineering with Google BigQuery & Google Cloud today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.
The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.
Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion.
The Data Engineering with Google BigQuery & Google Cloud is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.
The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!
Why choose this course
- Affordable, Accessible, informative and well-structured study materials
- Earn a globally recognised accredited qualification
- Study in your own time, at your own pace, through any device
- Benefit from feedback through mock exams and multiple-choice assessments
- Excellent career advancement/career switch opportunities
- Get 24/7 help or advice from our email and live chat teams
Certification
Certificate of Achievement
After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.
Course Design
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
- Video lessons
- Online study materials
Who Is This Course For
The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.
Requirements
The online training is open to all students and has no formal entry requirements. To study the Data Engineering with Google BigQuery & Google Cloud, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.
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 | ||
| Unit 02: Introducing Data Warehouse & BigQuery | |||
| 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 03: First Exploration | |||
| 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 04: Data Flow Basic | |||
| 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 08: Intermediate Query | |||
| 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 05: Diving into BigQuery | |||
| Module 01: BigQuery View | 00:06:00 | ||
| Unit 06: Virtual Data using View | |||
| 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 07: Data Visualization | |||
| 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 | ||
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Frequently asked questions
Can’t find the anwser you’re looking for ? Reach out to customer support team.
There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course.
You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience.
For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.
Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks.
We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.
Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course.
If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.