关于此 专项课程
85,823 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3 个月

建议 8 小时/周

英语(English)

字幕:英语(English), 西班牙语(Spanish), 中文(简体), 蒙古语

您将学到的内容有

  • Check

    Explain how data is used for recruiting and performance evaluation

  • Check

    Model supply and demand for various business scenarios

  • Check

    Solve business problems with data-driven decision-making

  • Check

    Understand the tools used to predict customer behavior

您将获得的技能

Customer AnalyticsAnalyticsBusiness AnalyticsDecision Tree
学习Specialization的学生是
  • HR Specialists
  • Business Analysts
  • Controllers
  • Chief Financial Officers (CFOs)
  • Human Resources

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3 个月

建议 8 小时/周

英语(English)

字幕:英语(English), 西班牙语(Spanish), 中文(简体), 蒙古语

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 5 门课程

课程1

消费者分析

4.5
6,806 个评分
1,452 个审阅
课程2

运营分析

4.7
3,432 个评分
633 个审阅
课程3

人力资源分析

4.5
3,330 个评分
574 个审阅
课程4

会计分析

4.5
1,983 个评分
343 个审阅

讲师

Avatar

Noah Gans

Anheuser-Busch Professor of Management Science, Professor of Operations, Information and Decisions
The Wharton School
Avatar

Ron Berman

Assistant Professor of Marketing
The Wharton School
Avatar

Senthil Veeraraghavan

Associate Professor of Operations, Information and Decisions
The Wharton School
Avatar

Peter Fader

Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative
The Wharton School
Avatar

Eric Bradlow

Professor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative
The Wharton School
Avatar

Matthew Bidwell

Associate Professor of Management
The Wharton School
Avatar

Martine Haas

Associate Professor of Management
The Wharton School
Avatar

Wharton Teaching Staff

Educators
The Wharton School
Avatar

Cade Massey

Practice Professor
The Wharton School
Avatar

Sergei Savin

Associate Professor of Operations, Information and Decisions
The Wharton School
Avatar

Brian J Bushee

The Geoffrey T. Boisi Professor
Accounting
Avatar

Christopher D. Ittner

EY Professor of Accounting
Accounting
Avatar

Raghu Iyengar

Associate Professor of Marketing
The Wharton School

关于 宾夕法尼亚大学

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

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。

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in about 5-6 months.

  • Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.

  • 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’ll gain a deeper understanding of how big data and analytics are used in four key areas: marketing (customer analytics), human resources and talent management (people analytics), operations, and finance. You can use this knowledge to create new business strategies using data, participate in conversations about analytics, transition to a new career, or improve your own business. You will also have a strong foundation for further study related to analytics and big data.

  • You will need a full-featured version of Microsoft Excel for some assignments. You should also have a working knowledge of Excel’s basic functions.

  • No previous knowledge or experience in business or analytics is required. This Specialization is designed for anyone interested in understanding how decisions are made using big data.

还有其他问题吗?请访问 学生帮助中心