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Growth Paths / DS Curriculum 8: Statistics and probability
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DS Curriculum 8: Statistics and probability

Probability, statistics on real data, and statistical learning.

Probability, statistics on real data, and statistical learning. Free courses, a free self-check for each, and real work confirmed by 3 people. Part of the Varsity Curriculum: Data Science, adapted from OSSU Data Science (CC BY-SA 4.0).

3 required outcomes35 weeksCredential on completion

Path outcomes

Skills

Learn Probability (Harvard Stat 110)

Introduction to Probability

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2 milestones

  1. 1Do the course work in public
  2. 2Check a probability puzzle by simulation
Skills

Master Statistics for Data Analysis

Intro to Descriptive Statistics — reuses an outcome Powstik already has.

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5 milestones

  1. 1Describe a real dataset with statistics
  2. 2Run and interpret a hypothesis test
  3. 3Build and evaluate a regression model
  4. 4Design and analyse an A/B test
  5. 5Communicate findings to a non-technical audience
Skills

Learn Statistical Learning with Python (ISLP)

Statistical Learning with Python

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2 milestones

  1. 1Do the course work in public
  2. 2Compare models on a real question

Resources for this path

No affiliate links. No sponsored placements.

The course map this path is adapted from (CC BY-SA 4.0).