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Data Science

Data Science Fundamentals

Statistics, Python, and the modern data stack

4.9· 231 student reviews
Level: BeginnerDuration: 6 monthsCredits: 18Tuition: $499 CADLead instructor: Dr. Felix Ostrowski
Enroll now — $499 CADCompare programs

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.

4.9
231 reviews
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    218
  • 4★
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    5
  • 2★
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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.

01Month 1 — Statistical Thinking02Month 2 — Python and SQL03Month 3 — Regression04Month 4 — Classification and Trees05Month 5 — Causal Inference06Month 6 — Capstone

Six-month 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

Role 1
Data Scientist
Role 2
ML Research Analyst
Role 3
Decision Scientist

Frequently asked questions

How much does the Data Science Fundamentals cost?▾

Tuition is $499 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 Data Science Fundamentals 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?▾

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 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.

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