À propos de ce cours : *** Want up to $150 in Qwiklabs credits? Join the SPECIALIZATION COMPLETION CHALLENGE today (details below). *** 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. SPECIALIZATION COMPLETION CHALLENGE For every course you complete before September 30, 2018, we'll send you 30 Qwiklabs credits (up to $150 USD value if you complete all 5 courses)! 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/
Les destinataires de ce cours : 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
| Informations de base | Cours 1 de 5 dans Data Engineering on Google Cloud Platform Specialization |
| Niveau | Intermédiaire |
| Engagement | 1 week of study, 6-10 hours/week |
| Langue | English |
| Matériel requis | You'll need a desktop web browser to run this course's interactive labs via Qwiklabs. |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
- Reading: Please read me
- Vidéo: Course Overview and Agenda
- Vidéo: Getting Started with Google Cloud Platform and Qwiklabs
- Vidéo: Meet Your Instructor
- Vidéo: What is the Google Cloud Platform?
- Vidéo: GCP Big Data Products
- Vidéo: Usage Scenarios
- Vidéo: Module Resources
- Vidéo: CPUs On Demand
- Vidéo: Lab Overview
- Vidéo: Lab Review
- Vidéo: A Global Filesystem
- Vidéo: Lab Overview
- Vidéo: Lab Review
- Vidéo: Module Review
- Vidéo: Module Resources
- Reading: Module Resources
- Vidéo: Stepping Stones to Transformation
- Vidéo: Your SQL Database in the Cloud
- Vidéo: Lab Overview
- Vidéo: Lab Review
- Vidéo: Managed Hadoop in the Cloud
- Vidéo: Lab Overview
- Vidéo: Lab Review
- Vidéo: Module Review
- Vidéo: Module Resources
- Vidéo: Fast Random Access
- Vidéo: Warehouse and Interactively Query Petabytes with Google BigQuery
- Vidéo: Ingesting data into BigQuery
- Vidéo: Interactive, Iterative Development with Cloud Datalab
- Vidéo: Cloud Datalab : Demo
- Vidéo: Datalab supports BigQuery
- Vidéo: Lab Overview
- Vidéo: Lab Review : Setting up Datalab
- Vidéo: Lab Review : Working in ipython notebook
- Vidéo: Introduction
- Vidéo: Machine Learning with TensorFlow
- Vidéo: Training and creating a Neural Network Model : Part 1
- Vidéo: Training and Creating a Neural Network Model : Part 2
- Vidéo: Lab Overview
- Vidéo: Pre-built Machine Learning Models
- Vidéo: Pre-built ML APIs : Examples
- Vidéo: Lab Review
- Vidéo: Module Review
- Vidéo: Scaling Data Analysis : Resources
- Reading: Scaling Data Analysis : Resources
- Vidéo: Machine Learning : Resources
- Vidéo: Message-oriented Architectures
- Vidéo: Serverless Data Pipelines
- Vidéo: Module Review
- Reading: Module Resources
- Vidéo: Next Steps
- Vidéo: Additional Resources
- Reading: Additional 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.
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
it is so promising and interesting to learn this specialization. But my ability to code is so limited, I would like to take the course again in winter this year. Best wishes for everyone.
The course is good, the labs are not great and some of the labs required multiple (identical) repeat before it was marked as completed. Thank you
very good course, some of the labs have problems in the completion, and not 100% updated on the tutorial. Great content and very didactic
This course was designed very intensively,had elaborate theory and practical work demos.