Acerca de este curso: 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: • You'll need a Google/Gmail account and a credit card or bank account to sign up for the Google Cloud Platform free trial (Google services are currently unavailable in China). • If you are a Google Cloud Platform customer with European Union (EU) and Russian billing addresses, read the VAT Overview documentation at: https://cloud.google.com/billing/docs/resources/vat-overview • More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/
Para quién es esta clase: This class is intended for Data analysts, Data scientists and Business analysts. It is also suitable for IT decision makers evaluating Google Cloud Platform for use by data scientists. This class is for people who do the following with big data: • Extracting, Loading, Transforming, cleaning, and validating data for use in analytics • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports
Creada por: Google Cloud
| Información básica | Curso 1 de 5 en Data Engineering on Google Cloud Platform Specialization |
| Nivel | Intermediate |
| Compromiso | 1 week of study, 6-10 hours/week |
| Idioma | English, Subtítulos: Japanese, Spanish |
| Requerimientos de hardware | You'll need a Google Cloud Platform Free Trial account. Sign up at: https://cloud.google.com/free/ |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
Introduction to the Data and Machine Learning on Google Cloud Platform Specialization
4 videos, 1 reading
- Reading: Please read me
- Vídeo: Course Overview and Agenda
- Vídeo: Getting Started with Google Cloud Platform and Qwiklabs
- Vídeo: Meet Your Instructor
Module 1: 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
- Vídeo: What is the Google Cloud Platform?
- Vídeo: GCP Big Data Products
- Vídeo: Usage Scenarios
- Vídeo: Module 1 Resources
Calificado: Module 1 Review
Module 2: 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, 1 reading
- Vídeo: CPUs On Demand
- Vídeo: Lab Overview
- Vídeo: Lab Review
- Vídeo: A Global Filesystem
- Vídeo: Lab Overview
- Vídeo: Lab Review
- Vídeo: Module 2 Review
- Vídeo: Module 2 Resources
- Reading: Module 2 Resources
Calificado: Create a Compute Engine Instance
Calificado: Interact with Cloud Storage
Calificado: Module 2 Review
Module 3: 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
- Vídeo: Stepping Stones to Transformation
- Vídeo: Your SQL Database in the Cloud
- Vídeo: Lab Overview
- Vídeo: Lab Review
- Vídeo: Managed Hadoop in the Cloud
- Vídeo: Lab Overview
- Vídeo: Lab Review
- Vídeo: Module 3 Review
- Vídeo: Module 3 Resources
Calificado: Setup Rentals Data in Cloud SQL
Calificado: Recommendations ML with Dataproc
Calificado: Module 3 Review
Module 4: Scaling Data Analysis: Compute with GCP
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”).
13 videos, 1 reading
- Vídeo: Fast Random Access
- Vídeo: Interactive, Iterative Development & Demo
- Vídeo: Warehouse and Interactively Query Petabytes
- Vídeo: Lab Overview
- Vídeo: Lab Review
- Vídeo: Machine Learning with TensorFlow
- Vídeo: Training and Creating a Neural Network Model
- Vídeo: Lab Overview
- Vídeo: Fully Build Machine Learning Models
- Vídeo: Lab Overview
- Vídeo: Module 4 Review
- Vídeo: Module 4 Resources
- Reading: Module 4 Resources
Calificado: Create ML dataset with BigQuery
Calificado: Carry out ML with TensorFLow
Calificado: Invoke Machine Learning APIs
Calificado: Module 4 Review
Module 5: 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, 1 reading
- Vídeo: Message-oriented Architectures
- Vídeo: Serverless Data Pipelines
- Vídeo: Module 5 Review
- Reading: Module 5 Resources
Calificado: Module 5 Review
Module 6: Summary of Google Cloud Platform, Big Data, and ML
3 videos, 1 reading
- Vídeo: Next Steps
- Vídeo: Module 6 Resources
- Reading: Module 6 Resources
Preguntas Frecuentes
Cómo funciona
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creadores
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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
Too much for a week though Lak was exceptional. Tensor flow looked little rushed. Overall , very interesting.
Very good tool to upskill
Enjoyed
Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.
© 2018 Coursera Inc. Todos los derechos reservados.
RC
An excellent course to give you an orientation of the GCP ecosystem. The course materials were very well constructed and unlike other online cloud courses, the labs were easy to follow and work well with qwiklabs. If you want to study the Google cloud Platform, this is where you should start.