Course

Excel to MySQL: Analytic Techniques for Business

Duke University

Excel to MySQL: Analytic Techniques for Business is a comprehensive Specialization offered by Duke University, designed to equip learners with essential skills in data analysis and visualization. Through a series of engaging modules, participants will delve into business metrics, data analysis in Excel, data visualization with Tableau, managing big data with MySQL, and leveraging data analytics for real estate management profits.

As businesses increasingly rely on data to inform strategic decisions, this Specialization provides valuable insights into formulating data questions, exploring large datasets, and communicating actionable insights. Learners will have the opportunity to work on a Capstone Project focusing on optimizing revenues from residential properties, with the chance to present their work to senior data scientists at Airbnb.

  • Gain a clear understanding of the vital roles of business analysts, business data analysts, and data scientists.
  • Learn to design and implement predictive models based on data analysis, using Excel for calculations.
  • Master the art of communicating business-relevant implications of data analyses through data visualization and storytelling in Tableau.
  • Develop essential skills in managing big data with MySQL, including querying and table aggregation.
  • Apply data analysis techniques to recommend strategies for improving profits in real estate management, culminating in a Capstone Project.

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Excel to MySQL: Analytic Techniques for Business
Course Modules

The course modules cover essential topics including business metrics, data analysis in Excel, data visualization with Tableau, managing big data with MySQL, and leveraging data analytics for real estate management profits.

Business Metrics for Data-Driven Companies

In Business Metrics for Data-Driven Companies, learners will delve into best practices for utilizing data analytics to enhance competitiveness and profitability. Gain insights into the roles of business analysts, business data analysts, and data scientists, and understand the skills required for high-demand jobs.

Mastering Data Analysis in Excel

Mastering Data Analysis in Excel focuses on developing predictive models to make informed business decisions. Learn how to minimize default risk and maximize profits, and understand how to quantify and reduce uncertainty in decision-making through data analysis.

Data Visualization and Communication with Tableau

Data Visualization and Communication with Tableau equips learners with the skills to communicate business-relevant implications of quantitative analyses. Gain proficiency in structuring data analysis projects, streamlining analyses, and presenting insights through effective visualizations.

Managing Big Data with MySQL

Managing Big Data with MySQL provides an introduction to using relational databases in business analysis. Learn how to understand and display the structure of data, execute useful query and table aggregation statements, and gain a competitive advantage in the data-rich business world.

Increasing Real Estate Management Profits: Harnessing Data Analytics

Increasing Real Estate Management Profits: Harnessing Data Analytics focuses on completing a Capstone Project using data analysis to recommend strategies for improving profits in real estate management. Gain hands-on experience in eliciting information, extracting and analyzing data, and presenting innovative business process changes based on data analysis.

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