关于此 专项课程

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The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.

To successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.

To see an overview video for this Specialization, click here!

学生职业成果
67%
完成此 专项课程 后开始了新的职业。
11%
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5 个月
建议 4 小时/周
英语(English)
字幕:英语(English), 西班牙语(Spanish), 阿拉伯语(Arabic)
学生职业成果
67%
完成此 专项课程 后开始了新的职业。
11%
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5 个月
建议 4 小时/周
英语(English)
字幕:英语(English), 西班牙语(Spanish), 阿拉伯语(Arabic)

此专项课程包含 5 门课程

课程1

课程 1

Introduction to Data Analysis Using Excel

4.7
5,348 个评分
1,204 条评论
课程2

课程 2

Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

4.7
1,470 个评分
229 条评论
课程3

课程 3

Business Applications of Hypothesis Testing and Confidence Interval Estimation

4.8
835 个评分
135 条评论
课程4

课程 4

Linear Regression for Business Statistics

4.8
880 个评分
149 条评论

提供方

莱斯大学 徽标

莱斯大学

其中一位行业合作伙伴的徽标

常见问题

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • The Specialization is 16 weeks long, plus the additional Capstone Project time.

  • The specialization will be at an introductory level.

  • It is recommended that the courses are taken in the order Course 1 "Introduction to Data Analysis Using Excel", Course 2 "Basic Data Descriptors and Data Distributions and Application to Business Decisions", Course 3 "Business Applications of Hypothesis Testing and Confidence Interval Estimation", and then Course 4 "Linear Regression and Its Application to Business".

  • You will be able to comfortably use spreadsheets to analyze business data in terms of various descriptive and graphical measures.

    You will also be able to conduct statistical analysis of data to test various business propositions using hypothesis testing, and learn to estimate confidence intervals to facilitate business decisions under uncertain circumstances.

    You will be able to translate a business decision in terms of a cause and effect regression model, estimate the model using a spreadsheet, and draw inferences regarding operational and strategic implications of the estimated model.

    Overall, you will begin the pathway towards transforming yourself into thoughtful, data-driven management decision maker.

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