Excel to MySQL: Analytic Techniques for Business Specialization

Started Jan 22

Excel to MySQL: Analytic Techniques for Business Specialization

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Excel to MySQL: Analytic Techniques for Business Specialization

Turn Data Into Value. Drive business process change by identifying & analyzing key metrics in 4 industry-relevant courses.

About This Specialization

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.

Created by:

Industry Partners:

5 courses

Follow the suggested order or choose your own.


Designed to help you practice and apply the skills you learn.


Highlight your new skills on your resume or LinkedIn.

Beginner Specialization.
No prior experience required.
  1. COURSE 1

    Business Metrics for Data-Driven Companies

    Current session: Jan 22
    4 weeks, 3-5 hours per week
    English, Chinese (Simplified)

    About the Course

    In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data. You’ll get
  2. COURSE 2

    Mastering Data Analysis in Excel

    Current session: Jan 22
    6 weeks, 8-10 hours per week

    About the Course

    Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cov
  3. COURSE 3

    Data Visualization and Communication with Tableau

    Current session: Jan 22
    5 weeks, 6-8 hours per week

    About the Course

    One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a
  4. COURSE 4

    Managing Big Data with MySQL

    Upcoming session: Jan 29
    5 weeks, 8-12 hours per week
    English, Russian

    About the Course

    This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowle
  5. COURSE 5

    Increasing Real Estate Management Profits: Harnessing Data Analytics

    Current session: Jan 15
    8 weeks of study, 8-10 hours/week

    About the Capstone Project

    In this final course you will complete a Capstone Project using data analysis to recommend a method for improving profits for your company, Watershed Property Management, Inc. Watershed is responsible for managing thousands of residentia


  • Duke University

    Duke University is consistently ranked as a top research institution, with graduate and professional schools among the leaders in their fields.

    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.

  • Jana Schaich Borg

    Jana Schaich Borg

    Assistant Research Professor
  • Daniel Egger

    Daniel Egger

    Executive in Residence and Director, Center for Quantitative Modeling