Lesson 4.2 Data Science and Artificial Intelligence
Lesson 4.2 Data Science and Artificial Intelligence
Success Criteria
Success Criteria
- Students can explain what data science is and why it is important.
- Students can differentiate between data science and artificial intelligence, identifying their similarities and unique roles.
- Students can describe and compare Google Colab and Kaggle as data science environments.
- Students can locate, analyze, and work with real-world datasets.
- Students can write basic Python scripts to process datasets in Google Colab or Kaggle.
- Students ask relevant questions and engage in discussions about the impact of AI and data science in real-world applications.