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.
來自从 EXCEL 到 MYSQL：商业分析技术的熱門評論
Awesome tool to understand the basics of why we're doing this specialization. This is the cornerstone of the right usage of the tools we can see in the upcoming courses. Highly recommended.
I very much enjoyed this course. I've been able to apply some of the strategies I learned in the specialization and I look forward to using it as a resource moving forward.
For me who thought I knew something about business analysis, this course proved me wrong, and I am very glad I took it. I'm looking forward to complete the specialization.
Simply awesome, it did not only helped me to develop the required skills, but gave me the security to try greater. Astounding method, totally recommended specialization
Great introduction into Data Analysis. I am excited to see where the specialization goes from here. This course really helped lay a great framework from which to build.
Good professors but you will not learn a lot, since it is more or less an introduction for the other courses of the specialization. Good if is not used as standalone.
Best course of the specialization so far, you can tell the instructor specializes in engaging presentations. I felt like I was never lost, but always challenged.
Good course overall. For areas of improvement, I would recommend a more cohesive content that is consistent with the rest of the specialization course.
此课程是 100% 在线学习吗？是否需要现场参加课程？
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.
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.