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Microcredential

Excel to MySQL: Analytic Techniques for Business

Duke University via Coursera Specialization

Overview

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.

Courses

Taught by

Daniel Egger and Jana Schaich Borg

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Reviews

2.7 rating, based on 3 reviews

Start your review of Excel to MySQL: Analytic Techniques for Business

  • Anonymous
    Course and the specialization
    I am really glad for this kind of courses with the Tableau and Excel/SQL. I know that these aren´t simple, but who like that stuff, will find the way for accomplishment. Although I didn´t finish all the specialization, I love most of the courses.
  • Anonymous
    Many problems with this specialization There are many problematic issues with this course, and specialization in general. 1. The theoretical level is sometimes too high and too archane/complex: I don't know how students with no background training on...
  • Anonymous
    While the instructor does explain the subject well, there is a big gap between the material covered in the lectures and the material required for the assignments and quizzes. The first course in this certificate was mostly linear in progression (without...

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