Standard syllabus
Intro data science · Undergraduate · Data science
Learning objectives from the Intro data science syllabus, grouped by unit. Click an objective for study materials.
Learning objectives
Click an objective for study materials.
Data and wrangling
- Tidy data principles: observations, variables, and values — Tidy data principles: observations, variables, and values
- Importing CSV/JSON and inspecting schemas — Importing CSV/JSON and inspecting schemas
- Filtering, selecting, mutating, and aggregating tables — Filtering, selecting, mutating, and aggregating tables
- Joins (inner, left) and keys — Joins (inner, left) and keys; many-to-one pitfalls
- Missing data strategies and documenting decisions — Missing data strategies and documenting decisions
Exploration and visualization
- Univariate summaries and distribution shape — Univariate summaries and distribution shape
- Bivariate plots: scatter, box, and grouped bars — Bivariate plots: scatter, box, and grouped bars
- Faceting and color encodings that do not mislead — Faceting and color encodings that do not mislead
- EDA checklists for data quality — EDA checklists for data quality
- Storyboarding figures for a short report — Storyboarding figures for a short report
Modeling and evaluation intro
- Train/validation/test mindset and leakage — Train/validation/test mindset and leakage
- Simple linear regression interpretation — Simple linear regression interpretation
- Classification intro: logistic or tree-based survey — Classification intro: logistic or tree-based survey
- Overfitting signs and regularization intuition — Overfitting signs and regularization intuition
- Metrics matched to goals (RMSE, accuracy, precision/recall survey) — Metrics matched to goals (RMSE, accuracy, precision/recall survey)
What each unit includes
Open a unit below for full materials. Typical resources:
- Study guide
- Exam Strategy
- Common Mistakes
- Worksheets
- Word problems
- Mixed Practice
- Multi-Unit Problems
- Review
- Practice test
- Answer key
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Data and wrangling
Tidy data principles: observations, variables, and values
Coming soon - Exploration and visualization
Univariate summaries and distribution shape
Coming soon - Modeling and evaluation intro
Train/validation/test mindset and leakage
Coming soon
Pricing calculator
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$1,162 · Intro data science · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.