GenAI has the potential to enable many more people to work with and analyze data, but to succeed, you need a solid foundation in data management, statistics, and machine learning. This course provides that foundation. Instructor Dan Sullivan teaches how to break down business questions and data science questions into components that can be addressed programmatically and then how to use genAI to create programs and scripts to implement a solution. This course focuses on the three pillars needed to be a successful data analyst or data scientist: problem solving skills, an understanding of statistics and machine learning, and practical experience with data management procedures.

The internet—together with all of the applications it supports, like the web—has become one of the most important forces for technological progress of our era.

AI Images and Videos: Stable Diffusion, ComfyUI, Forge WebUI, Runway, MidJourney, DALL-E, Adobe Firefly, Flux, Leonardo

This course will teach you how to manage databases within the Laravel framework.

Build a Scalable Doctor Appointment Web App with Next.js 14, Clerk, Ant Design, and Tailwind CSS

Set up, Run , and Grow Your Virtual Mailbox Business