Synthetic Data: Advanced Concepts and Applications

As technology continues to evolve, synthetic data has begun to replace real-world data, and its vast benefits are still in the early stages of being uncovered. In this course, python and data science expert Michael Galarnyk teaches advanced synthetic data concepts and applications. Michael begins the course by defining synthetic data and explaining some of the many benefits of leveraging synthetic data in a professional setting. Then, Michael goes on to explain how to balance synthetic data in datasets and how to leverage generative AI for synthetic data generation. Michael concludes the course by walking you through strategies to effectively implement synthetic data. After completing this course, you’ll be able to define synthetic data, describe its relationship to real-world data, identify its potential benefits, and recognize its potential applications across industries.