Practical ChatGPT for Data Science

Are you looking for a way to work faster and more efficiently as a data scientist? Integrating modern AI tools into your process is the key to boosting your productivity and unlocking new insights from your data. This course provides a practical foundation for using large language models like ChatGPT in your day-to-day data science tasks. You will move beyond basic queries and learn to apply structured prompting techniques to solve real-world data challenges, from initial data exploration and cleaning to explaining complex model results. What you'll learn: - Practice crafting effective prompts to generate Python and SQL code for data analysis. - Learn to use ChatGPT for data exploration, cleaning, and generating synthetic datasets for testing. - Understand how to leverage AI to explain complex machine learning models and document your findings. - Explore the fundamentals of Retrieval-Augmented Generation (RAG) to make the model aware of your custom data. - Apply AI-assisted techniques to debug code, optimize queries, and improve your data science scripts. - Master strategies for responsibly integrating large language models into your end-to-end data science projects. The course begins with the core principles of prompt engineering before guiding you through practical applications across the entire data science lifecycle. Each section builds your confidence in using AI as a powerful assistant for technical work. This course is designed for aspiring and current data scientists. No prior experience with large language models is required to get started. Begin learning how to enhance your data science skills with AI today.