Standard syllabus
Intro data science · Undergraduate · Data science
Topics
Data and wrangling
- Tidy data principles: observations, variables, and values
- Importing CSV/JSON and inspecting schemas
- Filtering, selecting, mutating, and aggregating tables
- Joins (inner, left) and keys; many-to-one pitfalls
- Missing data strategies and documenting decisions
- Reproducible notebooks (Jupyter or Quarto/R Markdown)
Exploration and visualization
- Univariate summaries and distribution shape
- Bivariate plots: scatter, box, and grouped bars
- Faceting and color encodings that do not mislead
- EDA checklists for data quality
- Storyboarding figures for a short report
- Choosing scales, transforms, and outlier handling
Modeling and evaluation intro
- Train/validation/test mindset and leakage
- Simple linear regression interpretation
- Classification intro: logistic or tree-based survey
- Overfitting signs and regularization intuition
- Metrics matched to goals (RMSE, accuracy, precision/recall survey)
- Communicating uncertainty and limitations
Pricing calculator
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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