Data Quality for Leaders
A course for leaders on how to ensure the quality of data and data-driven processes, including topics such as data governance, data quality standards, and data quality metrics.
Data Quality for Data Producers
A course for data producers on how to ensure the quality of data that they produce, including topics such as data cleansing, data validation, and data quality metrics.
A course on the data mesh approach to data management, which emphasizes decentralized ownership and governance of data assets, and a focus on data as a product. The course covers topics such as data ownership and accountability, data governance frameworks, and data product development.
Synthetic Data and Generative AI
A course on generating synthetic data and using generative AI techniques to create realistic, machine-generated data for a variety of purposes such as training machine learning models, testing software, and simulating scenarios. The course will cover topics such as synthetic data generation methods, generative models, and the ethical considerations of using synthetic data.
A course on the ethical considerations involved in the development and deployment of artificial intelligence systems. The course will cover topics such as bias in AI, the impact of AI on society, and ethical frameworks for AI development.