Applied Time-Series and Forecasting
McGill University · QC · ECON661
Applied Time-Series and Forecasting is a subject at McGill University, QC in ECON. It covers topics like applied-statistics, econometrics, machine-learning, predictive-analytics. It is part of 3 degrees. The information below is compiled from public course material — approximate, not official.
McGill University
ECON661
3.00
ECON
Topics covered
Degrees that include Applied Time-Series and Forecasting
- Economics (Non-Thesis): Development Studies (M.A.) (45 credits)
- Economics (Non-Thesis) (M.A.) (45 credits)
- Economics (Non-Thesis): Population Dynamics (M.A.) (45 credits)
Frequently asked questions
What is Applied Time-Series and Forecasting about?
Applied Time-Series and Forecasting covers topics like applied-statistics, econometrics, machine-learning, predictive-analytics.
Which degrees include Applied Time-Series and Forecasting?
Applied Time-Series and Forecasting is part of 3 degrees, including Economics (Non-Thesis): Development Studies (M.A.) (45 credits), Economics (Non-Thesis) (M.A.) (45 credits), Economics (Non-Thesis): Population Dynamics (M.A.) (45 credits).
How many credit points is Applied Time-Series and Forecasting?
Applied Time-Series and Forecasting at McGill University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Applied Time-Series and Forecasting taught?
Applied Time-Series and Forecasting is taught at McGill University, QC.
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Sources: McGill University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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