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/
Este curso faz parte do Programa de cursos integrados Data Engineering on Google Cloud Platform
Google Cloud Platform Big Data and Machine Learning Fundamentals
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Informações sobre o curso
4.6
4,187 classificações
Habilidades que você terá
TensorflowBigqueryGoogle Cloud PlatformCloud Computing
Programa - O que você aprenderá com este curso
Semana
1Introduction to the Data and Machine Learning on Google Cloud Platform Specialization
4 vídeos (total de (Total 13 mín.) min), 1 leitura
4 videos
Course Overview and Agenda5min
Getting Started with Google Cloud Platform and Qwiklabs2min
Meet Your Instructor3min
1 leituras
Please read me1min
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 vídeos (total de (Total 31 mín.) min), 1 teste
5 videos
What is the Google Cloud Platform?14min
GCP Big Data Products9min
Usage Scenarios5min
Module Resources27s
1 exercício prático
Module Review2min
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 vídeos (total de (Total 54 mín.) min), 1 leitura, 3 testes
9 videos
CPUs On Demand7min
Lab Overview37s
Lab Review8min
A Global Filesystem14min
Lab Overview1min
Lab Review14min
Module Review3min
Module Resources3min
1 leituras
Module Resources10min
1 exercício prático
Module Review4min
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 vídeos (total de (Total 90 mín.) min), 3 testes
10 videos
Stepping Stones to Transformation20min
Your SQL Database in the Cloud5min
Lab Overview24s
Lab Review22min
Managed Hadoop in the Cloud8min
Lab Overview17s
Lab Review27min
Module Review3min
Module Resources1min
1 exercício prático
Module Review4min
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 vídeos (total de (Total 82 mín.) min), 1 leitura, 4 testes
21 videos
Fast Random Access11min
Warehouse and Interactively Query Petabytes with Google BigQuery3min
Ingesting data into BigQuery2min
Interactive, Iterative Development with Cloud Datalab1min
Cloud Datalab : Demo3min
Datalab supports BigQuery2min
Lab Overview27s
Lab Review : Setting up Datalab5min
Lab Review : Working in ipython notebook6min
Introduction25s
Machine Learning with TensorFlow8min
Training and creating a Neural Network Model : Part 11min
Training and Creating a Neural Network Model : Part 25min
Lab Overview4min
Pre-built Machine Learning Models4min
Pre-built ML APIs : Examples8min
Lab Review8min
Module Review2min
Scaling Data Analysis : Resources10s
Machine Learning : Resources14s
1 leituras
Scaling Data Analysis : Resources1min
1 exercício prático
Module Review18min
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 vídeos (total de (Total 9 mín.) min), 1 leitura, 1 teste
4 videos
Message-oriented Architectures3min
Serverless Data Pipelines3min
Module Review32s
1 leituras
Module Resources5min
1 exercício prático
Module Review4min
Summary of GCP, Big Data and ML
3 vídeos (total de (Total 5 mín.) min), 1 leitura
1 leituras
Additional Resources10min
51%
comecei uma nova carreira após concluir estes cursos
47%
consegui um benefício significativo de carreira com este curso
Melhores avaliações
por 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.
por GO•Oct 6th 2018
This is an awesome course to understand GCP and fundamentals of Big Data. Very well designed and delivered by Google and Coursera. I love the teacher and his techniques as well. A BIG Thank you.
Sobre 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.
Sobre o Programa de cursos integrados Data Engineering on Google Cloud Platform
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 <<<
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
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/
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