Business Statistics and Analysis Specialization
Build Data Analysis and Business Modeling Skills. Gain the ability to apply statistics and data analysis tools to various business applications.
About this Specialization
No prior experience required.
No prior experience required.
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
Frequently Asked Questions
What is the refund policy?
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.
Can I just enroll in a single course?
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.
Is financial aid available?
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.
Can I take the course for free?
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.
Is this course really 100% online? Do I need to attend any classes in person?
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.
Will I earn university credit for completing the Specialization?
How long does it take to complete the Specialization?
The Specialization is 16 weeks long, plus the additional Capstone Project time.
What background knowledge is necessary?
The specialization will be at an introductory level.
Do I need to take the courses in a specific order?
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".
What will I be able to do upon completing the Specialization?
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.
More questions? Visit the Learner Help Center.