关于此 专项课程

433,151 次近期查看

Ask the right questions, manipulate data sets, and create visualizations to communicate results.

This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

学生职业成果
43%
完成此 专项课程 后开始了新的职业。
19%
加薪或升职。
可分享的证书
完成后获得证书
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11 个月
建议 7 小时/周
英语(English)
字幕:英语(English), 韩语, 阿拉伯语(Arabic), 法语(French), 中文(简体), 巴西葡萄牙语, 越南语, 西班牙语(Spanish), 日语, 俄语(Russian)...
学生职业成果
43%
完成此 专项课程 后开始了新的职业。
19%
加薪或升职。
可分享的证书
完成后获得证书
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11 个月
建议 7 小时/周
英语(English)
字幕:英语(English), 韩语, 阿拉伯语(Arabic), 法语(French), 中文(简体), 巴西葡萄牙语, 越南语, 西班牙语(Spanish), 日语, 俄语(Russian)...

此专项课程包含 10 门课程

课程1

课程 1

数据科学家的工具箱(中文版)

4.6
26,328 个评分
5,477 条评论
课程2

课程 2

R 语言程序设计(中文版)

4.5
17,976 个评分
3,777 条评论
课程3

课程 3

获取和整理数据

4.6
7,153 个评分
1,135 条评论
课程4

课程 4

探索性数据分析

4.7
5,387 个评分
776 条评论

提供方

约翰霍普金斯大学 徽标

约翰霍普金斯大学

其中一位行业合作伙伴的徽标其中一位行业合作伙伴的徽标

常见问题

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 3-6 months.

  • Each course in the Specialization is offered monthly.

  • Some programming experience (in any language) is recommended. We also suggest a working knowledge of mathematics up to algebra (neither calculus or linear algebra are required).

  • Begin by taking The Data Scientist's Toolbox and Introduction to R Programming, in order. The other courses may be taken in any order, and in parallel if desired.

  • 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’ll have a foundational understanding of the field and be prepared to continue studying data science.

  • Yes, you can access the course for free via www.coursera.org/jhu. This will allow you to explore the course, watch lectures, and participate in discussions for free. To be eligible to earn a certificate, you must either pay for enrollment or qualify for financial aid.

还有其他问题吗?请访问 学生帮助中心