关于此 专项课程
100% 在线课程

100% 在线课程

立即开始,按照自己的计划学习。
灵活的计划

灵活的计划

设置并保持灵活的截止日期。
中级

中级

完成时间(小时)

完成时间大约为2 个月

建议 8 小时/周
可选语言

英语(English)

字幕:英语(English)...
100% 在线课程

100% 在线课程

立即开始,按照自己的计划学习。
灵活的计划

灵活的计划

设置并保持灵活的截止日期。
中级

中级

完成时间(小时)

完成时间大约为2 个月

建议 8 小时/周
可选语言

英语(English)

字幕:英语(English)...

专项课程 的运作方式

加入课程

Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习,请直接注册专项课程,或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时,您将自动订阅整个专项课程。您可以只完成一门课程,您可以随时暂停学习或结束订阅。访问您的学生面板,跟踪您的课程注册情况和进度。

实践项目

每个专项课程都包括实践项目。您需要成功完成这个(些)项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程,则需要在开始之前完成其他所有课程。

获得证书

在结束每门课程并完成实践项目之后,您会获得一个证书,您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。

how it works

此专项课程包含 5 门课程

课程1

Core Database Concepts

3.9
52 个评分
15 个审阅
This course introduces the world of database systems. It provides the foundation that will enable learners to master skills in data modeling and information, as well as extract information using existing database management systems. The following main topics are covered: database design/modeling, data storage and indexing, query processing/optimization, transaction management, database security, and data analytics....
课程2

Distributed Database Systems

4.2
17 个评分
2 个审阅
The increased capabilities of a collection of logically interrelated databases distributed over a computer network enable scalable data processing. This course addresses the components of these systems, covering the following main topics: distributed database architectures, distributed data storage and indexing, distributed and parallel query processing/optimization, and concurrency control in distributed Parallel Database Systems....
课程3

NoSQL Database Systems

3.4
5 个评分
Unlike traditional relational database management systems, NoSQL databases are capable of storing unstructured data. They therefore not only meet the performance, scalability, and flexibility needs that data-intensive applications require but are essential to big data processing. This course covers main NoSQL data management systems topics such as key-value stores, graph databases, and document databases....
课程4

Big Data Tools

Systems that perform big data analytics require highly distributed architectures and new levels of memory and processing power. This course covers main topics associated with systems such as Hadopp MapReduce, Apache Spark, and Graph Processing Engines....

讲师

Avatar

Mohamed Sarwat

Assistant Professor
Computer Science and Engineering
Avatar

Ming Zhao

Associate Professor
ASU School of Computing, Informatics, and Decision Systems Engineering.
Graduation Cap

立即开始攻读硕士学位

此 专项课程 隶属于 Arizona State University 提供的 100% 在线 Master of Computer Science。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

关于 Arizona State University

Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it....

常见问题

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • 此专项课程不提供大学学分,但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。

  • Basic computer science knowledge including computer organization and architecture, discrete mathematics, data structures, and algorithms

    Knowledge of high-level programming languages (e.g., Java) and scripting language (e.g., Python), PostgreSQL

  • Time to completion can vary based on your schedule and experience level, most individual courses, in which this Specialization has 5, will take about a month to complete if you devote 2-5 hours per week.

  • No, you may take the courses in any order.

  • Learners completing this specialization will be able to:

    Differentiate among major data models such as relational, spatial, and NoSQL

    Perform queries (e.g., SQL) and analytics tasks in state-of-the-art database systems

    Apply leading-edge techniques to design/tune distributed and parallel database systems

    Utilize existing NoSQL database systems as appropriate for specified cases

    Perform database operations (e.g., selection, projection, join, and groupby) in state-of-the-art cluster computing systems such as Hadoop/Spark

    Perform scalable data processing operations (e.g., selection, projection, join, and groupby) in cloud computing environments, including Amazon AWS

还有其他问题吗?请访问 学生帮助中心