關於此 專項課程
91,547 次近期查看

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

初級

完成時間大約為3 個月

建議 8 小時/週

英語(English)

字幕:英語(English), 西班牙語(Spanish), 中文(簡體), 蒙古語

您將學到的內容有

  • 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

您將獲得的技能

Customer AnalyticsAnalyticsBusiness AnalyticsDecision Tree
學習Specialization的學生是
  • HR Specialists
  • Business Analysts
  • Controllers
  • Human Resources
  • Risk Managers

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

初級

完成時間大約為3 個月

建議 8 小時/週

英語(English)

字幕:英語(English), 西班牙語(Spanish), 中文(簡體), 蒙古語

專項課程的運作方式

加入課程

Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習,請直接註冊專項課程,或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時,您將自動訂閱整個專項課程。您可以只完成一門課程,您可以隨時暫停學習或結束訂閱。訪問您的學生面板,跟踪您的課程註冊情況和進度。

實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。

獲得證書

在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

how it works

此專項課程包含 5 門課程

課程1

消费者分析

4.5
6,654 個評分
1,418 個審閱
課程2

运营分析

4.7
3,354 個評分
621 個審閱
課程3

人力资源分析

4.5
3,250 個評分
558 個審閱
課程4

会计分析

4.5
1,947 個評分
338 個審閱

講師

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

關於 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. ...

常見問題

  • 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.

還有其他問題嗎?請訪問 學生幫助中心