Time Series Forecasting with ML
From ARIMA to deep learning forecasters
About this program
Six months on modern forecasting. Classical methods (ARIMA, ETS, Prophet) before moving into gradient boosting and deep learning forecasters (N-BEATS, TFT, foundation models for time series). Real case studies from Canadian energy and retail.
Student ratings
Highly rated — 430 verified Canadian graduates rated this program 4.6/5. Reviews emphasize the applied capstone, instructor responsiveness, and career outcomes.
- 5★277
- 4★140
- 3★9
- 2★2
- 1★2
Who this program is for
- →Working professionals moving into data science roles
- →Analysts, developers, and product people leveling up on applied AI
- →Canadian residents seeking a verifiable diploma credential
Topics you'll cover
6 modules across 6 months — 24 lessons in total.
Six-month syllabus
Module 1 · Month 1 — Foundations▾
- L1Time-series basics
- L2Stationarity, decomposition
- L3Naive baselines
- L4Evaluation metrics
Module 2 · Month 2 — Classical Methods▾
- L1ARIMA family
- L2ETS
- L3Prophet
- L4Lab: retail forecasting
Module 3 · Month 3 — ML Forecasting▾
- L1Feature engineering
- L2XGBoost and LightGBM
- L3Cross-validation strategies
- L4Lab: energy demand
Module 4 · Month 4 — Deep Learning▾
- L1N-BEATS
- L2TFT
- L3DeepAR
- L4Foundation models (Chronos, TimesFM)
Module 5 · Month 5 — Hierarchies and Probabilistic▾
- L1Hierarchical reconciliation
- L2Quantile forecasts
- L3Conformal prediction
- L4Cost-aware forecasting
Module 6 · Month 6 — Capstone▾
- L1Real forecasting problem
- L2Compare methods
- L3Deploy and monitor
- L4Final report
What you'll be able to do
- ●Build production forecasters
- ●Choose the right method per problem
- ●Handle hierarchies and reconciliation
- ●Evaluate forecasts rigorously
- ●Communicate uncertainty
Career paths after graduation
Frequently asked questions
How much does the Time Series Forecasting with ML cost?▾
Tuition is $599 CAD. You can pay in full at checkout or choose an interest-free monthly plan. A 30-day refund window applies from your start date.
How long is the Time Series Forecasting with ML program?▾
6 months, cohort-based and fully online. Expect roughly 11 hours per week including live Thursday sessions at 7pm ET.
What are the prerequisites?▾
Python; Basic statistics
Is the diploma recognized in Canada?▾
Yes. Graduates receive the Altaris AI Academy Diploma in Data Science — a verifiable credential with a unique certificate number you can publish on LinkedIn and that any employer can verify at smart-ai-future.lovable.app/verify.
What is the refund policy?▾
Full refund within 30 days of your cohort start date, no questions asked. After day 30, prorated refunds are available per our Refund Policy.
Who teaches the program?▾
Working Canadian AI practitioners — not academics. Each cohort has a lead instructor plus a 1:1 mentor pairing for the duration of the program.
Students also enrolled in
More Data Science programs from Altaris.