关于此 专项课程
42,780 次近期查看

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

初级

完成时间大约为5 个月

建议 7 小时/周

英语(English)

字幕:英语(English), 阿拉伯语(Arabic), 韩语, 印地语, 波斯语, 中文(简体), 波兰语...

您将获得的技能

Big DataNeo4jMongodbApache Spark

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

初级

完成时间大约为5 个月

建议 7 小时/周

英语(English)

字幕:英语(English), 阿拉伯语(Arabic), 韩语, 印地语, 波斯语, 中文(简体), 波兰语...

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 6 门课程

课程1

大数据导论

4.6
5,631 个评分
1,345 条评论
课程2

Big Data Modeling and Management Systems

4.4
2,207 个评分
364 条评论
课程3

Big Data Integration and Processing

4.4
1,589 个评分
334 条评论
课程4

基于大数据的机器学习

4.6
1,426 个评分
268 条评论

讲师

Avatar

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
Avatar

Amarnath Gupta

Director, Advanced Query Processing Lab
San Diego Supercomputer Center (SDSC)
Avatar

Mai Nguyen

Lead for Data Analytics
San Diego Supercomputer Center

行业合作伙伴

Industry Partner Logo #0

关于 加州大学圣地亚哥分校

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

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。

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in about 7 months.

  • This course is for those new to data science. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.

  • This specialization relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • You will be able to process, analyze, and interpret massive and complex data using current big data technologies. You will have the basic skills to model, manage and process big data of various sources and formats.

还有其他问题吗?请访问 学生帮助中心