关于此 专项课程
29,847 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2 个月

建议 8 小时/周

英语(English)

字幕:英语(English), 俄语(Russian), 巴西葡萄牙语, 韩语

您将学到的内容有

  • Check

    Harness the power of spreadsheets to map and predict data

  • Check

    Create your own quantitative models

  • Check

    Read income and cash flow statements

您将获得的技能

Financial ModelingCorporate FinanceMicrosoft Excel

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2 个月

建议 8 小时/周

英语(English)

字幕:英语(English), 俄语(Russian), 巴西葡萄牙语, 韩语

专项课程的运作方式

加入课程

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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 4 门课程

课程1

Fundamentals of Quantitative Modeling

4.6
4,300 个评分
823 个审阅
课程2

Introduction to Spreadsheets and Models

4.2
2,308 个评分
382 个审阅
课程3

Financial Acumen for Non-Financial Managers

4.6
147 个评分
27 个审阅
课程4

企业金融概论

4.6
3,257 个评分
583 个审阅

讲师

Avatar

Richard Waterman

Professor of Statistics
Statistics-Wharton School
Avatar

Don Huesman

Managing Director, Wharton Online
Innovation Group- Wharton School
Avatar

Richard Lambert

Professor of Accounting
Accounting- Wharton School
Avatar

Christopher D. Ittner

EY Professor of Accounting
Accounting
Avatar

Michael R Roberts

William H. Lawrence Professor of Finance, the Wharton School, University of Pennsylvania
Finance

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。

  • Time to completion will vary based on your schedule, but we anticipate most learners being able to finish the material in 4 months.

  • No specific background is required—this Specialization is ideal for learners who might be interested in entering the dynamic world of data and business analysis, and/or is interested gaining deeper technical knowledge in Finance and Quantitative Modeling

  • No, you can take the courses in this Specialization in any order.

  • 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.

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