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/
Ce cours fait partie de la Spécialisation Data Engineering on Google Cloud Platform
Google Cloud Platform Big Data and Machine Learning Fundamentals
proposé par
À propos de ce cours
4.6
3,529 notes
Compétences que vous acquerrez
TensorflowBigqueryGoogle Cloud PlatformCloud Computing
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
1Introduction to the Data and Machine Learning on Google Cloud Platform Specialization
4 vidéos (Total 13 min), 1 lecture
4 vidéos
Course Overview and Agenda5 min
Getting Started with Google Cloud Platform and Qwiklabs2 min
Meet Your Instructor3 min
1 lecture
Please read me1 min
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 vidéos (Total 31 min), 1 quiz
5 vidéos
What is the Google Cloud Platform?14 min
GCP Big Data Products9 min
Usage Scenarios5 min
Module Resources min
1 exercice pour s'entraîner
Module Review2 min
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 vidéos (Total 54 min), 1 lecture, 3 quiz
9 vidéos
CPUs On Demand7 min
Lab Overview min
Lab Review8 min
A Global Filesystem14 min
Lab Overview1 min
Lab Review14 min
Module Review3 min
Module Resources3 min
1 lecture
Module Resources10 min
1 exercice pour s'entraîner
Module Review4 min
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 vidéos (Total 90 min), 3 quiz
10 vidéos
Stepping Stones to Transformation20 min
Your SQL Database in the Cloud5 min
Lab Overview min
Lab Review22 min
Managed Hadoop in the Cloud8 min
Lab Overview min
Lab Review27 min
Module Review3 min
Module Resources1 min
1 exercice pour s'entraîner
Module Review4 min
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 vidéos (Total 82 min), 1 lecture, 4 quiz
21 vidéos
Fast Random Access11 min
Warehouse and Interactively Query Petabytes with Google BigQuery3 min
Ingesting data into BigQuery2 min
Interactive, Iterative Development with Cloud Datalab1 min
Cloud Datalab : Demo3 min
Datalab supports BigQuery2 min
Lab Overview min
Lab Review : Setting up Datalab5 min
Lab Review : Working in ipython notebook6 min
Introduction min
Machine Learning with TensorFlow8 min
Training and creating a Neural Network Model : Part 11 min
Training and Creating a Neural Network Model : Part 25 min
Lab Overview4 min
Pre-built Machine Learning Models4 min
Pre-built ML APIs : Examples8 min
Lab Review8 min
Module Review2 min
Scaling Data Analysis : Resources min
Machine Learning : Resources min
1 lecture
Scaling Data Analysis : Resources1 min
1 exercice pour s'entraîner
Module Review18 min
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 vidéos (Total 9 min), 1 lecture, 1 quiz
4 vidéos
Message-oriented Architectures3 min
Serverless Data Pipelines3 min
Module Review min
1 lecture
Module Resources5 min
1 exercice pour s'entraîner
Module Review4 min
Summary of GCP, Big Data and ML
3 vidéos (Total 5 min), 1 lecture
1 lecture
Additional Resources10 min
4.6
681 avis59%
83%
Meilleurs avis
par 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.
par 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.
À propos de 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.
À propos de la Spécialisation Data Engineering on Google Cloud Platform
>>> 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 <<<
***COMPLETION CHALLENGE; receive a GCP t-shirt, see more below.***
This five-week specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning.
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
COMPLETION CHALLENGE-Complete any GCP specialization from Oct 23 - Nov 30, 2018 to participate. Check Discussion Forums for full details.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
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/
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.
Coursera propose un accès universel à la meilleure formation au monde,
en partenariat avec des universités et des organisations du plus haut niveau, pour proposer des cours en ligne.
© 2018 Coursera Inc. Tous droits réservés.
