Data Science Fundamentals
Statistics, Python, and the modern data stack
About this program
Six months to become a working data scientist. Start with statistical thinking, move through Python and SQL fluency, build solid foundations in regression and classification, and finish with an end-to-end analytics project on real Canadian open data. Emphasizes communication of results as much as technical skill.
Student ratings
Outstanding — 231 verified Canadian graduates rated this program 4.9/5. Reviews emphasize the applied capstone, instructor responsiveness, and career outcomes.
- 5★218
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- 3★5
- 2★1
- 1★1
Who this program is for
- →Career changers exploring AI for the first time
- →Professionals who want practical literacy without a CS background
- →Canadian residents seeking a verifiable diploma credential
Topics you'll cover
6 modules across 6 months — 24 lessons in total.
Full syllabus
Module 1 · Month 1 — Statistical Thinking▾
- L1Descriptive statistics
- L2Sampling and confidence
- L3Hypothesis testing intuition
- L4Common pitfalls
Module 2 · Month 2 — Python and SQL▾
- L1Pandas in depth
- L2Joins, windows, CTEs
- L3Reproducible notebooks
- L4Lab: open-data exploration
Module 3 · Month 3 — Regression▾
- L1Linear and logistic
- L2Feature engineering
- L3Regularization
- L4Diagnostics
Module 4 · Month 4 — Classification and Trees▾
- L1Decision trees, random forests
- L2Gradient boosting (XGBoost, LightGBM)
- L3Class imbalance
- L4Calibration
Module 5 · Month 5 — Causal Inference▾
- L1Correlation vs. causation
- L2A/B testing fundamentals
- L3Difference-in-differences
- L4Practical causal toolkit
Module 6 · Month 6 — Capstone▾
- L1End-to-end analytics project
- L2Stakeholder presentation
- L3Reproducible report
- L4Peer review
What you'll be able to do
- ●Conduct rigorous exploratory data analysis
- ●Build and validate predictive models
- ●Communicate findings to non-technical stakeholders
- ●Work confidently in the modern data stack
- ●Apply causal reasoning to business questions
Career paths after graduation
Frequently asked questions
How much does the Data Science Fundamentals cost?▾
Tuition is $125 CAD, paid once. You can pay in full at checkout or choose an interest-free monthly plan. A 30-day refund window applies from your enrollment date.
How long is the Data Science Fundamentals program?▾
Self-paced. Most students complete it in 6 months at roughly 7 hours per week, but you can go faster or slower — you keep lifetime access.
What are the prerequisites?▾
High-school mathematics; Comfort with technology
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 altarisai.org/verify.
What is the refund policy?▾
Full refund within 30 days of enrollment, no questions asked. After day 30, prorated refunds are available per our Refund Policy.
Who teaches the program?▾
Working Canadian AI practitioners — not academics. Every module is built and reviewed by a lead instructor working in the field today.
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