课程信息

435,698 次近期查看

学生职业成果

45%

完成这些课程后已开始新的职业生涯

43%

通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为12 小时
英语(English)
字幕:英语(English)

您将学到的内容有

  • Processing big data at scale for analytics and machine learning

  • Fundamentals of building new machine learning models

  • Creating streaming data pipelines and dashboards

您将获得的技能

TensorflowBigqueryGoogle Cloud PlatformCloud Computing

学生职业成果

45%

完成这些课程后已开始新的职业生涯

43%

通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为12 小时
英语(English)
字幕:英语(English)

讲师

提供方

Google 云端平台 徽标

Google 云端平台

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up95%(20,366 个评分)Info
1

1

完成时间为 3 小时

Introduction to the Data and Machine Learning on Google Cloud Platform Specialization .

完成时间为 3 小时
13 个视频 (总计 78 分钟), 2 个阅读材料, 2 个测验
13 个视频
Introduction to Google Cloud Platform3分钟
Compute Power for Analytic and ML Workloads9分钟
Demo: Creating a VM on Compute Engine13分钟
Elastic Storage with Google Cloud Storage6分钟
Build on Google's Global Network3分钟
Security: On-premise vs Cloud-native2分钟
Evolution of Google Cloud Big Data Tools5分钟
Getting Started with Google Cloud Platform and Qwiklabs3分钟
Choosing the right approach5分钟
What you can do with Google Cloud Platform3分钟
Activity: Explore real customer solution architectures7分钟
Key roles in a data-driven organization6分钟
2 个阅读材料
Google Cloud Public Datasets program10分钟
Module Resources10分钟
1 个练习
Module Review5分钟
完成时间为 2 小时

Recommending Products using Cloud SQL and Spark

完成时间为 2 小时
8 个视频 (总计 50 分钟), 1 个阅读材料, 2 个测验
8 个视频
Introduction to machine learning5分钟
Challenge: ML for recommending housing rentals8分钟
Approach: Move from on-premise to Google Cloud Platform9分钟
Demo: From zero to an Apache Spark job in 10 minutes or less6分钟
Challenge: Utilizing and tuning on-premise clusters6分钟
Move storage off-cluster with Google Cloud Storage4分钟
Lab Intro2分钟
1 个阅读材料
Module Resources5分钟
1 个练习
Module Review15分钟
完成时间为 3 小时

Predict Visitor Purchases Using BigQuery ML

完成时间为 3 小时
13 个视频 (总计 74 分钟), 2 个阅读材料, 2 个测验
13 个视频
Demo: Query 2 billion lines of Github code in less than 30 seconds11分钟
BigQuery: Fast SQL Engine4分钟
Demo: Exploring bike share data with SQL11分钟
Data quality4分钟
BigQuery managed storage5分钟
Insights from geographic data2分钟
Demo: Analyzing lightning strikes with BigQuery GIS7分钟
Choosing a ML model type for structured data4分钟
Predicting customer lifetime value5分钟
BigQueryML: Create models with SQL3分钟
Phases in ML model lifecycle2分钟
BigQuery ML: key features walkthrough5分钟
2 个阅读材料
Lab Intro10分钟
Module Resources10分钟
1 个练习
Module Review4分钟
2

2

完成时间为 2 小时

Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow

完成时间为 2 小时
8 个视频 (总计 31 分钟), 1 个阅读材料, 2 个测验
8 个视频
Message-oriented architectures with Cloud Pub/Sub6分钟
Designing streaming pipelines with Apache Beam3分钟
Implementing streaming pipelines on Cloud Dataflow3分钟
Visualizing insights with Data Studio3分钟
Creating charts with Data Studio2分钟
Demo: Data Studio walkthrough7分钟
Lab Intro1分钟
1 个阅读材料
Module Resources10分钟
1 个练习
Module Review4分钟
完成时间为 2 小时

Classify Images with Pre-Built Models using Vision API and Cloud AutoML

完成时间为 2 小时
10 个视频 (总计 55 分钟), 2 个阅读材料, 2 个测验
10 个视频
How does ML on unstructured data work?3分钟
Demo: ML built into Google Photos1分钟
Comparing approaches to ML2分钟
Demo: Using ML building blocks7分钟
Using pre-built AI to create a chatbot4分钟
Customizing Pre-built models with AutoML7分钟
Lab Intro22
Building a Custom Model1分钟
Demo: Text classification done three ways21分钟
2 个阅读材料
Additional resources to build custom models10分钟
Module Resources10分钟
1 个练习
Module Review
完成时间为 5 分钟

Summary

完成时间为 5 分钟
1 个视频 (总计 5 分钟)
1 个视频

审阅

来自GOOGLE CLOUD PLATFORM BIG DATA AND MACHINE LEARNING FUNDAMENTALS的热门评论

查看所有评论

常见问题

  • 讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程,则可以免费查看大多数课程资料。要访问评分作业并获得证书,您需要在旁听期间或之后购买证书体验。如果看不到旁听选项:

    • 课程可能不提供旁听选项。您可以尝试免费试用,也可以申请助学金。
    • 课程可能会改为提供'完整课程,没有证书'。通过此选项,您可以查看所有课程材料、提交所要求的作业,以及获得最终成绩。这也意味着您将无法购买证书体验。
  • 您注册课程后,将有权访问证书中的所有课程,并且会在完成作业后获得证书。您的电子证书将添加到您的成就页中,您可以通过该页打印证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

  • 如果订阅,您可以获得 7 天免费试听,在此期间,您可以取消课程,无需支付任何罚金。在此之后,我们不会退款,但您可以随时取消订阅。请阅读我们完整的退款政策

  • 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

  • To be eligible for the free trial, you will need:

    - Google account (Google is currently blocked in China)

    - Credit card or bank account

    - Terms of service

    Note: There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602

    More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/

    For more details on how the free trial works, visit our documentation page: https://cloud.google.com/free-trial/docs/

  • If your current Google account is no longer eligible for the Google Cloud Platform free trial, you can create another Google account. Your new Google account should be used to sign up for the free trial.

  • View this page for more details: https://cloud.google.com/free-trial/docs/

  • Yes, this online course is based on the instructor-led training formerly known as CPB100.

  • The course covers the topics presented on the certification exam, however we recommend additional preparation including hands-on product experience. The best preparation for certification is real-world, hands-on experience. Review the Google Certified Professional Data Engineer certification preparation guide for further information and resources at https://cloud.google.com/certification/guides/data-engineer/

  • Google’s Certification Program gives customers and partners a way to demonstrate their technical skills in a particular job-role and technology. Individuals are assessed using a variety of rigorously developed industry-standard methods to determine whether they meet Google’s proficiency standards. Read more at https://cloud.google.com/certification/

  • 此课程不提供大学学分,但部分大学可能会选择接受课程证书作为学分。查看您的合作院校,了解详情。Coursera 上的在线学位Mastertrack™ 证书提供获得大学学分的机会。

还有其他问题吗?请访问 学生帮助中心