6 Courses Required

Additional Details

Target Audience

  • Current and aspiring data scientists
  • Analysts
  • Engineers
  • Researchers
  • Technical managers

Accreditation

  • Data Science Certificate from Cornell College of Engineering
  • 120 Professional Development Hours (12 CEUs)

Certificate Description

From data to decision, R is quickly becoming one of the most popular and effective programming languages of data science.

In this program, you’ll apply data science tools to the collection of data and the translation of data into information, constructing models that can be used to address the questions that you're investigating. You’ll have the opportunity to apply data analytics as a four-part process: gathering data, looking for patterns in that data, finding insights in any patterns you discover, and using those insights to make decisions. This process does not make decisions for you, but it will help you to better understand the effects of the decisions you might make. Through an examination of real-world data sets and different modeling techniques, as well as an in-depth look at how the programming language R can be used to help you find patterns and derive insights, you will gain valuable experience working in each stage of the data analytics process, helping you and your organization to make better decisions – and gain a sound scientific understanding of why you're making the choices you're making.

In order to be successful in this program, you will need to have experience in any programming language, prerequisite knowledge in basic probability and statistics concepts, and college-level calculus.

The courses in this certificate program are required to be completed in the order that they appear.

Certificate Print Title

Data Science
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