About this course: 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/
Who is this class for: 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
Created by: Google Cloud
| Basic Info | Course 1 of 5 in the Data Engineering on Google Cloud Platform Specialization |
| Level | Intermediate |
| Commitment | 1 week of study, 6-10 hours/week |
| Language | English, Subtitles: Spanish |
| Hardware Req | You'll need a desktop web browser to run this course's interactive labs via Qwiklabs. |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Introduction to the Data and Machine Learning on Google Cloud Platform Specialization
4 videos, 1 reading
- Reading: Please read me
- Video: Course Overview and Agenda
- Video: Getting Started with Google Cloud Platform and Qwiklabs
- Video: Meet Your Instructor
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
- Video: What is the Google Cloud Platform?
- Video: GCP Big Data Products
- Video: Usage Scenarios
- Video: Module Resources
Graded: Module Review
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
- Video: CPUs On Demand
- Video: Lab Overview
- Video: Lab Review
- Video: A Global Filesystem
- Video: Lab Overview
- Video: Lab Review
- Video: Module Review
- Video: Module Resources
- Reading: Module Resources
Graded: Create a Compute Engine Instance
Graded: Interact with Cloud Storage
Graded: Module Review
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
- Video: Stepping Stones to Transformation
- Video: Your SQL Database in the Cloud
- Video: Lab Overview
- Video: Lab Review
- Video: Managed Hadoop in the Cloud
- Video: Lab Overview
- Video: Lab Review
- Video: Module Review
- Video: Module Resources
Graded: Setup Rentals Data in Cloud SQL
Graded: Recommendations ML with Dataproc
Graded: Module Review
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 videos, 1 reading
- Video: Fast Random Access
- Video: Warehouse and Interactively Query Petabytes with Google BigQuery
- Video: Ingesting data into BigQuery
- Video: Interactive, Iterative Development with Cloud Datalab
- Video: Cloud Datalab : Demo
- Video: Datalab supports BigQuery
- Video: Lab Overview
- Video: Lab Review : Setting up Datalab
- Video: Lab Review : Working in ipython notebook
- Video: Introduction
- Video: Machine Learning with TensorFlow
- Video: Training and creating a Neural Network Model : Part 1
- Video: Training and Creating a Neural Network Model : Part 2
- Video: Lab Overview
- Video: Pre-built Machine Learning Models
- Video: Pre-built ML APIs : Examples
- Video: Lab Review
- Video: Module Review
- Video: Scaling Data Analysis : Resources
- Reading: Scaling Data Analysis : Resources
- Video: Machine Learning : Resources
Graded: Create ML dataset with BigQuery
Graded: Carry out ML with TensorFLow
Graded: Invoke Machine Learning APIs
Graded: Module Review
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
- Video: Message-oriented Architectures
- Video: Serverless Data Pipelines
- Video: Module Review
- Reading: Module Resources
Graded: Module Review
Summary of GCP, Big Data and ML
3 videos, 1 reading
- Video: Next Steps
- Video: Additional Resources
- Reading: Additional Resources
FAQs
How It Works
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.
Creators
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.
Pricing
| Purchase Course | |
|---|---|
| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
Ratings and Reviews
There is a system error in Lab 4.
the interface is a litte bit confuse, What about use a interface similar to Gmail, or Youtube?
great course, i wish the machine learning code walkthrough was done better...
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didatico e super completo em conteudo