Continuing Education

CCTB461 - Introduction to Data Science

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Course Overview

Analyzing and interpreting data can greatly assist with making strategic and effective business decisions. With the skills gained in this course, you will be able to use the principle theories of Data Science and apply the broad applications and practices in the field. Graduates of this course will be able to build simple Machine Learning models and use data to find analytical solutions to today’s business problems. This course will enhance your awareness of different fields, tools, and techniques in Data Science. It is recommended that you have basic programming knowledge prior to taking this course or completion of CCTP10 Introduction to Programming.

Upcoming Offerings

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Class Section Start/End Schedule
30980 E01 Jun. 28, 2025 Sat
Hours Delivery   Fees
3 hours Face-to-Face $150
Meeting Times:
  • Jun. 28 - Saturday: 9:00 AM - 11:50 AM

All times shown are in MT

 
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Class Section Start/End Schedule
11658 E01 Nov. 01, 2025 Sat
Hours Delivery   Fees
3 hours Face-to-Face $150
Meeting Times:
  • Nov. 1 - Saturday: 9:00 AM - 11:50 AM

All times shown are in MT

 
Add to Cart

Class Section Start/End Schedule
21549 E01 Feb. 28, 2026 Sat
Hours Delivery   Fees
3 hours Face-to-Face $150
Meeting Times:
  • Feb. 28 - Saturday: 9:00 AM - 11:50 AM

All times shown are in MT

 
Add to Cart

Class Section Start/End Schedule
30683 E01 Jun. 27, 2026 Sat
Hours Delivery   Fees
3 hours Face-to-Face $150
Meeting Times:
  • Jun. 27 - Saturday: 9:00 AM - 11:50 AM

All times shown are in MT

 
Add to Cart

This course is part of these programs or course groups:

Data Science


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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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