Applied Machine Learning (Summer 2025)

Applied Machine Learning is one of five non-credit courses in the Certification in Practice of Data Analytics (CPDA) program. This course can be taken individually or as one of four courses required to receive the CPDA certificate of completion.
Location: Virtual,
Date/Time: Tuesday, May 6, 2025 - Tuesday, June 24, 2025  12:00 AM - 12:00 AM

Save $124 if registered and paid by Tuesday, April 15, 2025. 

  

TERMS & CONDITIONS

  • Pre-Requisites: If wanting to gain the CPDA certification, it is required that participants take Introductory Statistics for Data Analytics and Data Mining before this course. Students need familiarity with basic probability and statistics (random variables, expectation, mean and covariance, characteristic functions, central limit theorem, etc.) and data science best practices (data mining methodology, data preparation, transformation, etc.). Students must have an understanding of Python before taking this course. If you don't have experience with Python, it's required that students complete this free training before starting the Machine Learning class: https://www.kaggle.com/learn/python
  • Course Duration and Completion: Each course offering in this program operates with a specific start date and end date. Students must complete each course during the specific time frame. Access to the online course and materials is removed when the course ends. To successfully pass. the course, you must have an 80% or better on all assignments, quizzes, and projects.
  • Cancellation and Refund: If you cancel your registration no later than 3 weeks prior to your scheduled course, you will receive a full refund minus a $75 administrative fee. No refunds for cancellations made within 3 weeks of the scheduled start date.
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If you were referred to this program by a current CPDA student, please include their name so they can receive a $25 discount on their next CPDA registration. (Referral students must be new to the CPDA program with this registration being the first of this program or of these courses).

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