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.
About this Specialization
100% online courses
Approx. 7 months to complete
100% online courses
Approx. 7 months to complete
How the Specialization Works
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.
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
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.
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
What is Coursera Plus and its refund policy?
What is the 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?
Can I take the course for free?
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?
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.
How long does it take to complete the Excel to MySQL: Analytic Techniques for Business Specialization?
Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 6-7 months.
How often is each course in the Specialization offered?
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.
What background knowledge is necessary?
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.
Do I have to take the courses in this Specialization in a specific order?
We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.
Will I earn university credit for completing the Excel to MySQL: Analytic Techniques for Business Specialization?
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.
What will I be able to do upon completing the Excel to MySQL: Analytic Techniques for Business Specialization?
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.
What software will I need to complete the assignments?
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.
Will I be able to succeed in this class if I have never taken a statistics, computer science, or programming class?
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.
Will I be able to succeed in this class if I have never had a job in a business-related field?
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.
Will I learn anything new in this class if I have a graduate degree in statistics, computer science, or math?
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 Learner Help Center.