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Data Mining
Graduate Certificate

Data mining graduate certificate overview

Big data can lead to big insights. You can be a data hero by using data mining techniques to extract valuable insights from data sets. Explore our one-year data mining graduate certificate.

Through our data mining courses, you'll advance your knowledge of how to apply your skills and techniques. Learn essentials for working with and analyzing big data, skills much in demand in industries and organizations around the world.

AT A GLANCE

Degree Type
Graduate Certificate
Format
On Campus
Credit Hours
15 - 18 Credit Hours

Studying data mining techniques

Valuable insights are often tucked away in data. Gain the knowledge and skills to find them and become a data expert with this interdepartmental graduate certificate.

By using different data mining techniques, you'll uncover hidden connections, trends and anomalies that might not be immediately obvious.

Data mining is a practical skill you can apply any time you need to collect, analyze and generate insights from large sets of information.

This graduate certificate includes data mining courses from:

  • the Department of Statistics, Actuarial and Data Sciences.
  • the Department of Computer Science.
  • the Department of Geography and Environmental Studies.

Highlights of our data mining courses

As a student in the data mining graduate degree program, you’ll:

  • Diversify your skills: Learn both basic and advanced data mining techniques.
  • Practice what you learn: Explore statistical analysis, including programming and the application of statistical models.
  • Organize your findings: Learn how to manage and work with data effectively and efficiently in order to present your findings in a clear, meaningful way.
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Statistical support right on campus

At the Statistical Consulting Center, you'll receive statistical support tailored to faculty and graduate students in all phases of research across the university. You'll be able to request a workshop with staff and consult with them on topics like research planning, design of experiments and surveys, methods of analysis, use of statistical computing programs and interpretation of results.

Visit Statistical Consulting Center

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