Continuing Education

Data Science

Become a data scientist

Jumpstart a career in Data Science and explore the concepts of big data, data analysis and informative visualization.

Data Science is a rapidly growing field that derives its strategies from computing, statistics and business. Learn how to manipulate data and wrangle large data sets. Discover how to set up and implement machine learning experiments that provide robust business value including more advanced subjects like Deep Learning. With the use of Python programming language, learn about data management software such as pandas, Tableau, matplotlib, scikit-learn, and TensorFlow.

A Data Science certificate will be awarded upon successful completion of the 6 core courses.

Courses

Quick Facts

Credential: Certificate Achievement

An approved non-credit program that has a formal summative assessment component, has mappped program or course outcomes, and is subject to a regular quality curriculum review process.

Campus: Main

Any in-person components of your courses will be delivered at NAIT's Main Campus in Edmonton. View map

Delivery Modes:

  • Varies by Class - Delivery mode varies by class. See Courses and Advanced Credit to view course scheduling details.

Delivery Times:

  • Varies by Class - Delivery times varies by class. See Courses and Advanced Credit to view course scheduling details.

Entrance requirements

You will need previous programming knowledge or have successfully completed the following courses prior to enrolling in the Data Science certificate program:

After completion

A Data Science certificate will be awarded upon successful completion of the 6 core courses.

Frequently Asked Questions

Registration

Funding Options

Courses, certificates and transfer credits

Technology Requirements

Delivery Methods

  • Face to Face: Where: In-person meetings. When: Course is scheduled at a specific time for students to attend. Face-to-face instruction at all class meetings. Location may be on campus or at a worksite.
  • Blended: Where: Mixture of in-person & online components. When: Course is scheduled at a specific time for students to attend. Combination of face-to-face and online components at specific times. Some online components may be accessed online anytime.
  • Hyflex: Where: Choice to attend in-person or online meetings. When: Course is scheduled at a specific time for students to attend. For each class, students choose to attend in-person with the instructor or online at a specific time.
  • Remote Live Delivery: Where: Online with instructor. When: Course is scheduled at a specific time for students to attend. Instruction is delivered at set times online. Students do not come to campus.
  • Remote On-Demand Delivery: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online. While there are no set class meetings, there may be set due dates and deadlines for some activities. Students may interact with peers through virtual tools.
  • Remote Independent: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online, with no instructor support. While students choose when to do coursework, there may be set due dates and deadlines. 
  • Work Placement: Where: In-person meetings. When: Work is scheduled at a specific time for students to attend. Onsite work integrated learning. Location at a worksite.
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