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Description

Official Description

6.0 Continuing Education Units (CEUs)

Fundamentals of applying artificial intelligence techniques on time series data, statistical, machine and deep learning models for time series. Emphasis is placed on the main applications of time series analysis: forecasting, clustering and anomaly detection. Data science techniques applicable to time series. Deep learning methods, rolling predictions, online learning, backtesting.

 

Supplementary Information

30 contact hours plus approx. 30 hours of assignments.

Applies Towards the Following Programs

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Section(s) offered
Section Title
Time Series Analysis Fundamentals
Language of Delivery
English
Type
Virtual Course
Days
T
Time
6:00PM to 9:00PM
Dates
May 06, 2025 to Jul 22, 2025
Schedule and Location
Contact Hours
30.0
Delivery Format(s)
Course Fee(s)
Tuition Fee non-credit $1,377.64 Click here to get more information
Drop Request Deadline
Jan 28, 2025 to May 13, 2025
Transfer Request Deadline
Jan 28, 2025 to May 13, 2025
Withdrawal Request Deadline
May 13, 2025 to May 20, 2025
Section Notes

A minimum number of registrations is required for this course section to be offered. The School reserves the right to cancel any course section when a minimum number of registrations has not been reached 7 days prior to the start date. In the event of a cancellation, the course fee will be refunded in full.

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.

 

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