How do Data Scientists actually use AI?
In this live session, you'll discover how prompt engineering has become one of the most valuable skills in modern data work. Rather than asking AI random questions, you'll learn how professionals write structured prompts that help clean datasets, generate queries, write Python code, perform exploratory analysis, engineer features, and explain results.
You'll follow along as our instructor works inside Google Colab, combining AI with Python to solve practical data science tasks in real time.
Why Now?
AI is transforming the way Data Scientists work.
The professionals creating the most value aren't replacing their skills with AI, they're using AI to eliminate repetitive work, accelerate analysis, and spend more time solving meaningful problems.
From startups to global companies, teams increasingly expect data professionals to know how to work effectively with AI tools alongside Python, SQL, and machine learning.
Prompt engineering is quickly becoming a core productivity skill for every Data Scientist.
Data Scientists help companies:
Build predictive models
Discover patterns in data
Automate decision-making
Optimize business processes
Turn data into AI-powered solutions
It's one of the fastest-growing careers in tech, and AI is transforming how Data Scientists work. By the end of the session, you'll understand how prompt engineering fits into modern Data Science workflows, how professionals combine AI with Python to solve real problems, and why these skills are becoming essential in today's data-driven world.