This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
At the end of this course, participants will be able to:
• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
• Employ BigQuery and Cloud Datalab to carry out interactive data analysis
• Choose between Cloud SQL, BigTable and Datastore
• Train and use a neural network using TensorFlow
• Choose between different data processing products on the Google Cloud Platform
Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:
• A common query language such as SQL
• Extract, transform, load activities
• Data modeling
• Machine learning and/or statistics
• Programming in Python
Google Account Notes:
• Google services are currently unavailable in China.
Looking for the English version of this course? Check out https://www.coursera.org/learn/gcp-big-data-ml-fundamentals/
このコースの日本語版をお探しですか？https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-jp/
This course is part of the Data Engineering on Google Cloud Platform Specialization
Google Cloud Platform Big Data and Machine Learning Fundamentals
Offered By
About this Course
4.6
4,518 ratings
Skills you will gain
TensorflowBigqueryGoogle Cloud PlatformCloud Computing
Syllabus - What you will learn from this course
Week
1Introduction to the Data and Machine Learning on Google Cloud Platform Specialization
4 videos (Total 13 min), 1 reading
4 videos
Course Overview and Agenda5m
Getting Started with Google Cloud Platform and Qwiklabs2m
Meet Your Instructor3m
1 reading
Please read me1m
Introduction to Google Cloud Platform and its Big Data Products
In this module you will be introduced to Google Cloud Platform and the data handling aspects of the platform.
5 videos (Total 31 min), 1 quiz
5 videos
What is the Google Cloud Platform?14m
GCP Big Data Products9m
Usage Scenarios5m
Module Resources27s
1 practice exercise
Module Review2m
Foundations of GCP Compute and Storage
In this module, we introduce the foundations of the Google Cloud Platform: compute and storage and introduce how they work to provide data ingest, storage, and federated analysis.
9 videos (Total 54 min), 1 reading, 3 quizzes
9 videos
CPUs On Demand7m
Lab Overview37s
Lab Review8m
A Global Filesystem14m
Lab Overview1m
Lab Review14m
Module Review3m
Module Resources3m
1 reading
Module Resources10m
1 practice exercise
Module Review4m
Data Analysis on the Cloud
In this module we introduce the common Big Data use cases that Google will manage for you. These are the things that are widely done in industry today and for which we provide easy migration to the cloud.
10 videos (Total 90 min), 3 quizzes
10 videos
Stepping Stones to Transformation20m
Your SQL Database in the Cloud5m
Lab Overview24s
Lab Review22m
Managed Hadoop in the Cloud8m
Lab Overview17s
Lab Review27m
Module Review3m
Module Resources1m
1 practice exercise
Module Review4m
Scaling Data Analysis and Machine Learning
This module is about the more transformational technologies in Google Cloud platform that may not have immediate parallels to technologies that attendees are using (“what's next”).
21 videos (Total 82 min), 1 reading, 4 quizzes
21 videos
Fast Random Access11m
Warehouse and Interactively Query Petabytes with Google BigQuery3m
Ingesting data into BigQuery2m
Interactive, Iterative Development with Cloud Datalab1m
Cloud Datalab : Demo3m
Datalab supports BigQuery2m
Lab Overview27s
Lab Review : Setting up Datalab5m
Lab Review : Working in ipython notebook6m
Introduction25s
Machine Learning with TensorFlow8m
Training and creating a Neural Network Model : Part 11m
Training and Creating a Neural Network Model : Part 25m
Lab Overview4m
Pre-built Machine Learning Models4m
Pre-built ML APIs : Examples8m
Lab Review8m
Module Review2m
Scaling Data Analysis : Resources10s
Machine Learning : Resources14s
1 reading
Scaling Data Analysis : Resources1m
1 practice exercise
Module Review18m
Data Processing Architectures: Scalable Ingest, Transform and Load
In this module we will introduce you to data processing architectures in Google Cloud Platform: Asynchronous processing with TaskQueues. Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow.
4 videos (Total 9 min), 1 reading, 1 quiz
4 videos
Message-oriented Architectures3m
Serverless Data Pipelines3m
Module Review32s
1 reading
Module Resources5m
1 practice exercise
Module Review4m
Summary of GCP, Big Data and ML
3 videos (Total 5 min), 1 reading
1 reading
Additional Resources10m
4.6
844 Reviews51%
started a new career after completing these courses
47%
got a tangible career benefit from this course
Top Reviews
By CR•Dec 27th 2017
This was a great course to understand at a high level how to design and create my data ecosystem and how to do it sustainably. Hopefully, next courses provide more in-depth the technical features.
By JI•Mar 27th 2018
Very good and well thought out.\n\nI just laughed out loud when the translation for "wow this is cool" to Spanish was "wow esto es fresco" (wow, this is a fresco/fresh) Classic google translate.
About Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
About the Data Engineering on Google Cloud Platform Specialization
This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data.
This course teaches the following skills:
• Design and build data processing systems on Google Cloud Platform
• Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
• Derive business insights from extremely large datasets using Google BigQuery
• Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
• Enable instant insights from streaming data
This class is intended for developers who are responsible for:
• Extracting, Loading, Transforming, cleaning, and validating data
• Designing pipelines and architectures for data processing
• Creating and maintaining machine learning and statistical models
• Querying datasets, visualizing query results and creating reports
>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
Are there prerequisites for this course?
Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:
• A common query language such as SQL
• Extract, transform, load activities
• Data modeling
• Machine learning and/or statistics
• Programming in Python
Am I eligible for the Google Cloud Platform free trial?
To be eligible for the free trial, you will need:
- Google account (Google is currently blocked in China)
- Credit card or bank account
- Terms of service
Note: There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602
More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/
For more details on how the free trial works, visit our documentation page: https://cloud.google.com/free-trial/docs/
What if I have already used up my Google Cloud Platform free trial?
If your current Google account is no longer eligible for the Google Cloud Platform free trial, you can create another Google account. Your new Google account should be used to sign up for the free trial.
How does the free trial work?
View this page for more details: https://cloud.google.com/free-trial/docs/
Is this course similar to CPB100?
Yes, this online course is based on the instructor-led training formerly known as CPB100.
Does this course relate to the Google Certified Professional Data Engineer certification?
The course covers the topics presented on the certification exam, however we recommend additional preparation including hands-on product experience. The best preparation for certification is real-world, hands-on experience. Review the Google Certified Professional Data Engineer certification preparation guide for further information and resources at https://cloud.google.com/certification/guides/data-engineer/
What is a Google certification?
Google’s Certification Program gives customers and partners a way to demonstrate their technical skills in a particular job-role and technology. Individuals are assessed using a variety of rigorously developed industry-standard methods to determine whether they meet Google’s proficiency standards. Read more at https://cloud.google.com/certification/
More questions? Visit the Learner Help Center.
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