Excel to MySQL: Analytic Techniques for Business Specialization

Excel to MySQL: Analytic Techniques for Business Specialization

Department

Pratt School of Engineering

Beginner

English

5 courses

Variable

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.

Instructors

Daniel Egger
Daniel Egger

Executive in Residence

Jana Schaich Borg
Jana Schaich Borg

Assistant Research Professor in the Social Science Research Institute

Statistics & Data Analysis / Open online course

Causal Inference with R - Introduction

Causal Inference with R is the first course in a seven-part series on causal inference concepts and methods created by Duke University with support from eBay, Inc.... Learn More

Statistics & Data Analysis / Open online course

Causal Inference with R - Experiments

Causal Inference with R – Experiments is the second of seven courses on causal inference concepts and methods created by Duke University with support from eBay, Inc.... Learn More

Airbnb is the official sponsor of the Specialization's Capstone Project and provided input on the project design. 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.


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