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February 6, 2025

Data Science & Artificial Intelligence

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Skills to Acquire?

  • 1. Programming for Data Science & AI.
  • 2. Data Cleaning and Preprocessing.
  • 3. Machine Learning and Deep Learning Techniques.
  • 4. Text and Image Processing.
  • 5. Business Communication of Data Insights.
  • 6. Understanding of Data Science and AI fundamentals.
  • 7. Familiarity with the data lifecycle and AI workflows
  • 8. Data preparation and transformation.
  • 9. Working with large datasets efficiently
  • 10. Building and evaluating machine learning models.
  • 11. Understanding and applying core ML algorithms
  • 12. Building end-to-end projects for professional portfolios.
  • 13. Presenting technical insights to stakeholders.
  • 14. Text analysis and processing techniques

Course Content

Foundations of Data Science & AI

  • What is Data Science?
  • Introduction to Artificial Intelligence
  • Applications of Data Science & AI in Industry
  • Ethical AI: Bias and Fairness

Programming for Data Science & AI

Mathematics and Statistics for Data Science

Data Collection and Preprocessing

Machine Learning Foundations

Deep Learning and Neural Networks

Natural Language Processing (NLP)

Capstone Projects

Tools and Frameworks