7 Courses Required

Additional Details

Target Audience

  • Data analysts and business analysts
  • Database managers
  • Technical and systems analysts
  • Programmers interested in data science
  • Marketers
  • Business managers

Accreditation

  • Python for Data Science Certificate from Cornell Center for Advanced Computing
  • 105 Professional Development Hours (7 CEUs)

Certificate Description

Data science is one of today’s most in-demand functions — and Python is an essential skill in any data scientist’s toolbox. In this program, you will master the ability to analyze and visualize data in meaningful ways using Python to help solve complex business problems. Working with tools such as Jupyter Notebooks, NumPy, and Pandas, you will have the opportunity to analyze real-world datasets to identify patterns and relationships in data. You will gain experience using both built-in and custom-built data types to create expressive and computationally robust data science projects. Finally, you will build predictive machine learning models using Python and scikit-learn.

To be successful in this program you should have prior programming experience with a procedural language. Our Python Programming certificate program is a great option if you have less experience. The amount of time you spend in these courses will depend on your prior experience. These courses are designed to be taken in order as the concepts build upon each other throughout the program.

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

Certificate Print Title

Python for Data Science
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