Informações sobre o 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/ Buscando la versión en español de este curso? Visita https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-es/ 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/
Para quem é direcionado este curso: 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
| Informações básicas | Curso 1 de 5 no Data Engineering on Google Cloud Platform Specialization |
| Nível | Intermediário |
| Compromisso | 1 week of study, 6-10 hours/week |
| Idioma | English, Legendas: Japanese, Spanish |
| Requisitos de hardware | You'll need a Google Cloud Platform Free Trial account. Sign up at: https://cloud.google.com/free/ |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
- Reading: Please read me
- Vídeo: Course Overview and Agenda
- Vídeo: Getting Started with Google Cloud Platform and Qwiklabs
- Vídeo: Meet Your Instructor
- Vídeo: What is the Google Cloud Platform?
- Vídeo: GCP Big Data Products
- Vídeo: Usage Scenarios
- Vídeo: Module 1 Resources
- 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
- 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
- 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
- Vídeo: Message-oriented Architectures
- Vídeo: Serverless Data Pipelines
- Vídeo: Module 5 Review
- Reading: Module 5 Resources
- Vídeo: Next Steps
- Vídeo: Module 6 Resources
- Reading: Module 6 Resources
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Had to send many troubleshooting emails around the quick labs, but overall a great intro!
The courses themselves are very good. My only complaint is the scoring did not always reflect the completion of the course so I spent a lot of extra time trying to get the score to reflect my work. I had in fact completed the course and when I finally ended the course, it was reflected correct.
Good overview on the Google Cloud Platform and its ecosystems.
Very interesting course, but there still is a bug in it that causes you do to a topic multiple times and you need to use your projectID as your bucketname or you cannot complete the course.