Об этом курсе: 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/
Для кого этот курс: 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
| Основные сведения | Курс 1 из 5 — Data Engineering on Google Cloud Platform Specialization |
| Уровень | Учащийся среднего уровня |
| Выполнение | 1 week of study, 6-10 hours/week |
| Язык | English, Субтитры: Japanese, Spanish |
| Требования к аппаратным средствам | You'll need a Google Cloud Platform Free Trial account. Sign up at: https://cloud.google.com/free/ |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Leyendo: Please read me
- Видео: Course Overview and Agenda
- Видео: Getting Started with Google Cloud Platform and Qwiklabs
- Видео: Meet Your Instructor
- Видео: What is the Google Cloud Platform?
- Видео: GCP Big Data Products
- Видео: Usage Scenarios
- Видео: Module Resources
- Видео: CPUs On Demand
- Видео: Lab Overview
- Видео: Lab Review
- Видео: A Global Filesystem
- Видео: Lab Overview
- Видео: Lab Review
- Видео: Module Review
- Видео: Module Resources
- Leyendo: Module Resources
- Видео: Stepping Stones to Transformation
- Видео: Your SQL Database in the Cloud
- Видео: Lab Overview
- Видео: Lab Review
- Видео: Managed Hadoop in the Cloud
- Видео: Lab Overview
- Видео: Lab Review
- Видео: Module Review
- Видео: Module Resources
- Видео: Fast Random Access
- Видео: Warehouse and Interactively Query Petabytes with Google BigQuery
- Видео: Ingesting data into BigQuery
- Видео: Interactive, Iterative Development with Cloud Datalab
- Видео: Cloud Datalab : Demo
- Видео: Datalab supports BigQuery
- Видео: Lab Overview
- Видео: Lab Review : Setting up Datalab
- Видео: Lab Review : Working in ipython notebook
- Видео: Introduction
- Видео: Machine Learning with TensorFlow
- Видео: Training and creating a Neural Network Model : Part 1
- Видео: Training and Creating a Neural Network Model (Part 2)
- Видео: Lab Overview
- Видео: Pre-built Machine Learning Models
- Видео: Pre-built ML APIs : Examples
- Видео: Lab Review
- Видео: Module Review
- Видео: Scaling Data Analysis : Resources
- Leyendo: Scaling Data Analysis : Resources
- Видео: Machine Learning : Resources
- Видео: Message-oriented Architectures
- Видео: Serverless Data Pipelines
- Видео: Module Review
- Leyendo: Module Resources
- Видео: Next Steps
- Видео: Additional Resources
- Leyendo: Additional Resources
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Получите сертификат о прохождении курса, ссылкой на который можно делиться с другими людьми | Доступен |
Excellent Course Thoroughly Enjoyed it!
Good overview. Looking forward for the details courses
**UPDATE 08/14**
Bumping the score by a point due to great tech/customer support.
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The lab instructions could be clearer and the real time update of scores is not working for few of the labs that needs to be corrected. Content was good.
OL
The course was great, except for the issue with lab completion - had to do two labs twice. Well, at least I will remember the steps better - practice makes perfect.