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Intermediatedata-sciencestatisticsexperimentationcausal-inference

Data Scientist Track

28 problems·~14h·4 stages

From summary statistics to causal inference, the full analyst toolkit. You will compute robust descriptives, build and evaluate regression and classification baselines, measure relationships and run hypothesis tests, then finish with causal estimators and ranking curves. The right path if your job is turning messy data into defensible decisions.

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What you will learn

  • Produce robust descriptive and distributional summaries
  • Measure relationships and test hypotheses end to end
  • Build and evaluate regression and classification baselines
  • Estimate causal effects and read ranking curves correctly

Before you start

1Descriptives

0/8

The daily bread of analysis: mean, variance, median, weighted mean, z-scores, quartiles, percentiles, and expected value.

Stage checkpoint

0/2 to pass

A checkpoint is a short retrieval test drawn from this stage: solve 2 of 3 from memory to mark the stage complete. The stage stays open either way.

Tried this set and did not pass? Record it — the next set swaps in fresh problems from the same stage.
LabRecommended next stepLogistic Regression, From ScratchEasy

2Models and Metrics

0/7

Fit baselines and score them: accuracy, MSE, linear regression, R-squared, k-fold splits, bootstrap confidence intervals, and confusion-matrix counts.

Stage checkpoint

0/2 to pass

A checkpoint is a short retrieval test drawn from this stage: solve 2 of 3 from memory to mark the stage complete. The stage stays open either way.

Tried this set and did not pass? Record it — the next set swaps in fresh problems from the same stage.
LabRecommended next stepLogistic Regression, From ScratchEasy

3Relationships and Testing

0/7

Do variables move together, and is it real? Covariance, Pearson and Spearman correlation, trimmed means, rolling means, one-sample t-statistics, and Welch's test.

Stage checkpoint

0/2 to pass

A checkpoint is a short retrieval test drawn from this stage: solve 2 of 3 from memory to mark the stage complete. The stage stays open either way.

Tried this set and did not pass? Record it — the next set swaps in fresh problems from the same stage.
LabRecommended next stepLogistic Regression, From ScratchEasy

4Causal and Ranking Evaluation

0/6

Beyond correlation: ROC and precision-recall curves, permutation importance, IPW average treatment effects, AUC by trapezoid, and average precision.

Stage checkpoint

0/2 to pass

A checkpoint is a short retrieval test drawn from this stage: solve 2 of 3 from memory to mark the stage complete. The stage stays open either way.

Tried this set and did not pass? Record it — the next set swaps in fresh problems from the same stage.
LabRecommended next stepLogistic Regression, From ScratchEasy

Capstone

Lab

Close the path with one real artifact from the catalog.

House Price Regression

Fit a model on real held-out rows and beat the training-mean baseline.