Course Curriculum

6 Chapters · 11 Lessons

  1. 1

    The Synthetic Advantage: Why Real Data Isn't Always the Answer

    1. Synthetic Data Basics Free preview
    2. (Included in full purchase)

      Knowledge Check

  2. 2

    Know Your Data: Statistical Profiling for Faithful Synthesis

    1. (Included in full purchase)

      Statistical Profiling - Concepts

    2. (Included in full purchase)

      Statistical Profiling - Demonstration

  3. 3

    The Privacy Guarantee: Mastering Differential Privacy Techniques

    1. (Included in full purchase)

      Why Privacy Matters

    2. (Included in full purchase)

      Applying Differential Privacy

  4. 4

    Prompt to Dataset: Harnessing LLMs for Synthetic Data Generation

    1. (Included in full purchase)

      LLM and Python Setup

    2. (Included in full purchase)

      Synthetic Data Generation Using LLM

  5. 5

    Trust but Verify: Validating and Evaluating Your Synthetic Data

    1. (Included in full purchase)

      Importance of Validation and Evaluation

    2. (Included in full purchase)

      Comparison and Evaluation

  6. 6

    Conclusion

    1. (Included in full purchase)

      Conclusion and Summary