AI and Data Literacy for Business Professionals

Data and Artificial Intelligence Literacy - From Core ML and Statistical Concepts to the Latest in AI in Simple Terms

Created by: Shadi Balandeh, PhD
Data Science Leader

What Will I Learn?

• Grasp the fundamental concepts of descriptive and inferential statistics through practical examples
• Learn the core concepts of AI and machine learning, such as the history of AI, different types of ML models, and much more (without detailed math or coding)
• Explore latest AI topics, such as the principles of responsible AI, Large Language Models, generative AI, and more, in a simple yet practical way
• Understand the main evaluation metrics for machine learning models, including their use cases and limitations. e.g How is "Accuracy" different than "Precision"?
• Learn how to consume data visualizations as an AI and Data-literate Business Professional. Learn the "Questions to Always Ask".
• Identify common cognitive biases and pitfalls that impact data-driven decision making
• Included is a 60-page data and literacy handbook, ensuring you can focus on learning without the need for extensive note-taking

Requirements

• No prerequisites

Target audience

• Business professionals without rigorous data science background aiming to enhance their AI and data literacy with the latest topics.
• Example: Executives, Product Managers, Project Managers, Marketing Managers, Data Enthusiasts, Data Analysts, Educators and Trainers