Technology
Data Science & AI Literacy
31 lessons · 220 glossary terms · 155 practice questions — Covers Foundations.
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Foundations31 lessons
- What Data Science Is
- Types of Data
- Datasets
- Structured Versus Unstructured Data
- Data Collection
- Sampling
- Data Cleaning
- Missing Data
- Outliers
- Exploratory Data Analysis
- Visualization
- Correlation
- Prediction
- Machine Learning Basics
- Supervised Learning
- Unsupervised Learning
- Training Data
- Features and Labels
- Models
- Training Versus Testing
- Overfitting
- Bias
- Algorithmic Fairness
- Generative AI
- Large Language Models
- Prompting Basics
- Hallucinations
- Evaluating AI Output
- AI Privacy
- AI Ethics
- NIST AI Risk Concepts