When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Cloud Analytics with Google Cloud Platform

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Cloud Analytics with Google Cloud Platform

位教师：Packt - Course Instructors

包含在中

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9个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

9个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Explore the fundamentals of cloud analytics and major cloud solutions
Understand how organizations leverage cloud analytics to improve ROI
Design and implement an end-to-end analytics pipeline on the cloud

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有9个模块

This course offers a comprehensive guide to cloud analytics, focusing on the process of utilizing Google Cloud Platform (GCP) for processing and analyzing large-scale data. It is designed to equip learners with the knowledge required to harness cloud analytics tools, enabling businesses to extract actionable insights from big data.

Throughout the course, you will learn how to design and implement end-to-end analytics solutions, leveraging machine learning and deep learning techniques to analyze data more effectively. The course includes practical steps for data ingestion, processing, and best practices for building analytics pipelines. What sets this course apart is its unique combination of theory and hands-on practice, empowering learners to build real-world cloud-based analytics engines. You will also gain insights into the design and business considerations necessary to deliver effective cloud analytics solutions. This course is suitable for professionals involved in data analytics, machine learning, and cloud computing, particularly those aiming to implement cloud-based analytics systems. While prior experience with cloud platforms is helpful, it is not a requirement.

In this section, we explore cloud analytics fundamentals, cloud computing models, and service levels (IaaS, PaaS, SaaS) to enable effective data management.

涵盖的内容

2个视频6篇阅读材料1个作业

2个视频总计2分钟

Course Overview 1分钟
Introducing Cloud Analytics - Overview Video 1分钟

6篇阅读材料总计80分钟

Introduction 10分钟
Major Benefits of Cloud Computing 10分钟
Public Cloud 20分钟
PaaS 20分钟
Different Ways to Secure the Cloud 10分钟
What Is Cloud Analytics 10分钟

1个作业总计10分钟

Cloud Computing Fundamentals 10分钟

In this section, we explore cloud migration strategies, prerequisites for cloud deployment, and multi-provider architecture design to ensure effective cloud adoption and infrastructure planning.

涵盖的内容

1个视频8篇阅读材料1个作业

1个视频总计1分钟

Design and Business Considerations - Overview Video 1分钟

8篇阅读材料总计130分钟

Introduction 10分钟
Parameters Before Adopting Cloud Strategy 10分钟
Legally Binding Responsibilities 20分钟
Simplifying Cloud Migration with Virtualization 20分钟
Disadvantages of IaaS 20分钟
Cloud Migration Checklist 10分钟
Infrastructure for Cloud Computing 10分钟
Preparing a Plan for Moving to Cloud Computing 30分钟

1个作业总计10分钟

Cloud Computing and Business Strategy 10分钟

In this section, we explore GCP services, their purposes, and compare cloud vendor categories to guide effective tool selection for specific workloads.

涵盖的内容

1个视频11篇阅读材料1个作业

1个视频总计1分钟

GCP 10,000 Feet Above A High-Level Understanding of GCP - Overview Video 1分钟

11篇阅读材料总计240分钟

Introduction 20分钟
Compute 10分钟
Storage and Databases 20分钟
Cloud Datastore 10分钟
Cloud CDN 20分钟
BigQuery 20分钟
Cloud Pub/Sub 20分钟
Cloud Storage Transfer Service 30分钟
Cloud Job Discovery Private Beta 30分钟
Cloud Video Intelligence 30分钟
Cloud Deployment Manager 30分钟

1个作业总计10分钟

GCP Services and Use Cases 10分钟

In this section, we explore cloud data ingestion and storage services, including Cloud Dataflow, Cloud Pub/Sub, and Cloud Storage, focusing on their use cases and practical implementation.

涵盖的内容

1个视频10篇阅读材料1个作业

1个视频总计1分钟

Ingestion and Storing Bring the Data and Capture It - Overview Video 1分钟

10篇阅读材料总计140分钟

Introduction 20分钟
PCollection (Data) 20分钟
Pipeline Example 20分钟
Using the gcloud Command-Line Tool 10分钟
Cloud Storage Classes 10分钟
How to Use Cloud Storage Video 10分钟
When to Use It 20分钟
Load Balancing 10分钟
Instances 10分钟
Special Feature 10分钟

1个作业总计10分钟

Data Management and Messaging Fundamentals 10分钟

In this section, we explore GCP services for data processing and visualization, including BigQuery, Cloud Datalab, and Data Studio, focusing on practical applications and real-world data workflows.

涵盖的内容

1个视频10篇阅读材料1个作业

1个视频总计1分钟

Processing and Visualizing Close Encounter - Overview Video 1分钟

10篇阅读材料总计160分钟

Introduction 10分钟
Schema Type of the Data 20分钟
When to Use It 10分钟
Dataflow versus Dataproc 20分钟
Multi-language Support 10分钟
Sharing and Collaboration 20分钟
Advantages of Compute Engine 20分钟
How to Use Google Compute Engine Video 20分钟
How to Use Google App Engine Video 20分钟
Node Machine Type 10分钟

1个作业总计10分钟

GCP Data Processing and Analytics Fundamentals 10分钟

In this section, we explore AI and machine learning on GCP, focusing on text classification, NLP pipelines, and cloud-based ML services with practical applications.

涵盖的内容

6篇阅读材料1个作业

In this section, we explore GCP certification exam guides and service selection for cloud architecture and data engineering.

涵盖的内容

1个视频5篇阅读材料1个作业

In this section, we explore business use cases on GCP, focusing on real-time data architectures, data lakes, and recommendation systems. We analyze practical applications and end-to-end project planning using cloud services.

涵盖的内容

1个视频5篇阅读材料1个作业

In this section, we will learn about two prominent cloud vendors-Amazon Web Services (AWS) and Microsoft Azure.

涵盖的内容

4篇阅读材料1个作业

位教师

Packt - Course Instructors

Packt

1,542 门课程 417,120 名学生

提供方

Packt

从 Data Analysis 浏览更多内容

状态：预览
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Introduction to Data Analytics on Google Cloud
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状态：免费试用
Google Cloud
Introduction to Data Analytics in Google Cloud
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状态：免费试用
状态：人工智能技能
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专业证书
状态：免费试用
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课程

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常见问题

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

Cloud Analytics with Google Cloud Platform

Cloud Analytics with Google Cloud Platform

您将学到什么

您将获得的技能

您将学习的工具

要了解的详细信息

了解顶级公司的员工如何掌握热门技能

该课程共有9个模块

Introducing Cloud Analytics

涵盖的内容

Design and Business Considerations

涵盖的内容

GCP 10,000 Feet Above A High-Level Understanding of GCP

涵盖的内容

Ingestion and Storing Bring the Data and Capture It

涵盖的内容

Processing and Visualizing Close Encounter

涵盖的内容

Machine Learning, Deep Learning, and AI on GCP

涵盖的内容

Guidance on Google Cloud Platform Certification

涵盖的内容

Business Use Cases

涵盖的内容

Introduction to AWS and Azure

涵盖的内容

位教师

提供方

从 Data Analysis 浏览更多内容

Introduction to Data Analytics on Google Cloud

Introduction to Data Analytics in Google Cloud

Google Cloud Data Analytics

Smart Analytics, Machine Learning, and AI on Google Cloud

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

通过 Coursera Plus 开启新生涯

通过在线学位推动您的职业生涯

加入超过 3400 家选择 Coursera for Business 的全球公司

常见问题

Can I preview a course before enrolling?

When will I have access to the lectures and assignments?

What will I get when I enroll?

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