关于此 专项课程

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Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process. The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.
学生职业成果
42%
完成此 专项课程 后开始了新的职业。
50%
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7 个月

建议 4 小时/周

英语(English)

字幕:英语(English), 韩语, 阿拉伯语(Arabic), 中文(简体), 越南语, 俄语(Russian), 西班牙语(Spanish)...
学生职业成果
42%
完成此 专项课程 后开始了新的职业。
50%
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7 个月

建议 4 小时/周

英语(English)

字幕:英语(English), 韩语, 阿拉伯语(Arabic), 中文(简体), 越南语, 俄语(Russian), 西班牙语(Spanish)...

此专项课程包含 5 门课程

课程1

课程 1

数据驱动型公司的业务指标

4.6
6,295 个评分
1,288 条评论
课程2

课程 2

使用 Excel 分析数据

4.2
3,208 个评分
731 条评论
课程3

课程 3

使用 Tableau 展示可视化数据

4.7
2,295 个评分
500 条评论
课程4

课程 4

使用 MySQL 管理大数据

4.7
2,837 个评分
637 条评论

提供方

杜克大学 徽标

杜克大学

其中一位行业合作伙伴的徽标

常见问题

  • 如果订阅,您可以获得 7 天免费试听,在此期间,您可以取消课程,无需支付任何罚金。在此之后,我们不会退款,但您可以随时取消订阅。请阅读我们完整的退款政策

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  • 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。

  • 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.

  • No prior experience with analytics or programming is required. This Specialization is intended for anyone with an interest in data analysis and its applications in business decision-making.

  • 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 frame practical business questions that can be answered with data, visualize analytical insights in an informative and compelling fashion, and translate and persuasively communicate insights into actionable recommendations for decision-makers.

  • You will need access to Microsoft Excel 2007 (or a more recent version of Microsoft Excel). We will be using the free Solver plugin for optimization problems, and this functionality is not available in alternative online tools such as Google Sheets. The Specialization will also make use of freely-downloadable software packages such as Tableau.

  • Yes! We will teach you all the analytical and software tools you need to succeed not only in this class, but also as a business analyst.

  • Yes. Our goal is to give you tools to help you navigate business data analyses of all kinds, even if you have never worked with that type of data before or do not have experience with the associated type of business.

  • Yes. In fact, chances are high that you have never seen the majority of the content in this class. Applying quantitative skills to business contexts requires software, skills, and domain knowledge you are not likely to have been exposed to in graduate school.

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