關於此 專項課程

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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.
學生職業成果
42%
完成此 專項課程 後開始了新的職業。
50%
加薪或升職。

可分享的證書

完成後獲得證書

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7 個月

建議 4 小時/週

英語(English)

字幕:英語(English), 韓語, 阿拉伯語(Arabic), 中文(簡體), 越南語, 俄語(Russian), 西班牙語(Spanish)...
學生職業成果
42%
完成此 專項課程 後開始了新的職業。
50%
加薪或升職。

可分享的證書

完成後獲得證書

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7 個月

建議 4 小時/週

英語(English)

字幕:英語(English), 韓語, 阿拉伯語(Arabic), 中文(簡體), 越南語, 俄語(Russian), 西班牙語(Spanish)...

此專項課程包含 5 門課程

課程1

課程 1

数据驱动型公司的业务指标

4.6
6,248 個評分
1,277 條評論
課程2

課程 2

使用 Excel 分析数据

4.2
3,194 個評分
729 條評論
課程3

課程 3

使用 Tableau 展示可视化数据

4.7
2,275 個評分
494 條評論
課程4

課程 4

使用 MySQL 管理大数据

4.7
2,806 個評分
630 條評論

提供方

杜克大学 徽標

杜克大学

其中一位行業合作夥伴的徽標

常見問題

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  • 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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